Upload tokenizer
Browse files- README.md +199 -0
- special_tokens_map.json +107 -0
- tokenizer.json +1106 -0
- tokenizer_config.json +985 -0
README.md
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| 1 |
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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| 15 |
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<!-- Provide a longer summary of what this model is. -->
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| 17 |
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+
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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| 19 |
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
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- **Language(s) (NLP):** [More Information Needed]
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| 25 |
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- **License:** [More Information Needed]
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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### Model Sources [optional]
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| 29 |
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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| 33 |
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- **Paper [optional]:** [More Information Needed]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
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## Uses
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| 37 |
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| 38 |
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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| 41 |
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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| 43 |
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[More Information Needed]
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| 45 |
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### Downstream Use [optional]
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| 47 |
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| 48 |
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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| 49 |
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| 50 |
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[More Information Needed]
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| 51 |
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| 52 |
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### Out-of-Scope Use
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| 53 |
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| 54 |
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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| 55 |
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| 56 |
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[More Information Needed]
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| 57 |
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## Bias, Risks, and Limitations
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| 59 |
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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| 61 |
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[More Information Needed]
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| 63 |
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| 64 |
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### Recommendations
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| 65 |
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| 66 |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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| 67 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 69 |
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_10>",
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"<extra_id_11>",
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"<extra_id_12>",
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"<extra_id_13>",
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"<extra_id_14>",
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"<extra_id_15>",
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"<extra_id_16>",
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"<extra_id_17>",
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"<extra_id_18>",
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"<extra_id_19>",
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"<extra_id_20>",
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"<extra_id_21>",
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"<extra_id_22>",
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"<extra_id_23>",
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"<extra_id_24>",
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"<extra_id_25>",
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"<extra_id_26>",
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"<extra_id_27>",
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"<extra_id_28>",
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"<extra_id_29>",
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"<extra_id_30>",
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"<extra_id_31>",
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"<extra_id_32>",
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"<extra_id_33>",
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"<extra_id_34>",
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"<extra_id_35>",
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"<extra_id_36>",
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"<extra_id_37>",
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"<extra_id_38>",
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"<extra_id_39>",
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"<extra_id_40>",
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"<extra_id_41>",
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"<extra_id_42>",
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"<extra_id_43>",
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"<extra_id_44>",
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"<extra_id_45>",
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"<extra_id_46>",
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"<extra_id_47>",
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"<extra_id_48>",
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"<extra_id_49>",
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"<extra_id_50>",
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"<extra_id_51>",
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"<extra_id_52>",
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"<extra_id_53>",
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"<extra_id_54>",
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"<extra_id_55>",
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"<extra_id_57>",
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"<extra_id_58>",
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"<extra_id_59>",
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"<extra_id_60>",
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"<extra_id_61>",
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"<extra_id_62>",
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"<extra_id_63>",
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"<extra_id_64>",
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"<extra_id_65>",
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"<extra_id_66>",
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"<extra_id_67>",
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"<extra_id_69>",
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"<extra_id_76>",
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"<extra_id_77>",
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"<extra_id_78>",
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"<extra_id_79>",
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"<extra_id_80>",
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"<extra_id_81>",
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"<extra_id_82>",
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| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": "</s>",
|
| 105 |
+
"pad_token": "<pad>",
|
| 106 |
+
"unk_token": "<unk>"
|
| 107 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,1106 @@
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| 1 |
+
{
|
| 2 |
+
"version": "1.0",
|
| 3 |
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|
| 4 |
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| 5 |
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| 6 |
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{
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| 7 |
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| 8 |
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|
| 9 |
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| 10 |
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| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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{
|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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| 21 |
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| 22 |
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|
| 23 |
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},
|
| 24 |
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{
|
| 25 |
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"id": 3,
|
| 26 |
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"content": "[PAD]",
|
| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"id": 4,
|
| 35 |
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"content": "[UNK]",
|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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|
| 40 |
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|
| 41 |
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},
|
| 42 |
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{
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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},
|
| 51 |
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{
|
| 52 |
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|
| 53 |
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|
| 54 |
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| 55 |
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|
| 56 |
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|
| 57 |
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| 58 |
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|
| 59 |
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|
| 60 |
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{
|
| 61 |
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|
| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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| 69 |
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{
|
| 70 |
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"id": 103,
|
| 71 |
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|
| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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|
| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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|
| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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| 94 |
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|
| 95 |
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| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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| 100 |
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| 101 |
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|
| 102 |
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| 103 |
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|
| 104 |
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| 105 |
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|
| 106 |
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|
| 107 |
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| 108 |
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|
| 109 |
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| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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| 119 |
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| 120 |
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| 121 |
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|
| 122 |
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| 123 |
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| 124 |
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|
| 125 |
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| 126 |
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| 127 |
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| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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| 136 |
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| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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{
|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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| 153 |
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| 154 |
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| 155 |
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| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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{
|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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{
|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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| 237 |
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| 238 |
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| 239 |
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| 240 |
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| 241 |
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|
| 242 |
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|
| 243 |
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|
| 244 |
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| 246 |
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| 247 |
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| 248 |
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| 249 |
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|
| 250 |
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|
| 251 |
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| 257 |
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| 258 |
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|
| 260 |
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| 264 |
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| 265 |
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| 266 |
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| 268 |
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|
| 269 |
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|
| 270 |
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| 271 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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|
| 278 |
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|
| 279 |
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| 280 |
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| 281 |
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| 283 |
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| 284 |
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| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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| 301 |
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|
| 302 |
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| 303 |
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|
| 304 |
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|
| 305 |
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|
| 306 |
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|
| 307 |
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|
| 308 |
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|
| 309 |
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| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
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| 327 |
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| 328 |
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| 329 |
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|
| 774 |
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|
| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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|
| 779 |
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|
| 780 |
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{
|
| 781 |
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|
| 782 |
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|
| 783 |
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|
| 784 |
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|
| 785 |
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|
| 786 |
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|
| 787 |
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|
| 788 |
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|
| 789 |
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{
|
| 790 |
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|
| 791 |
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|
| 792 |
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|
| 793 |
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|
| 794 |
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|
| 795 |
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|
| 796 |
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|
| 797 |
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|
| 798 |
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{
|
| 799 |
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|
| 800 |
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|
| 801 |
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|
| 802 |
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|
| 803 |
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|
| 804 |
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|
| 805 |
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|
| 806 |
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|
| 807 |
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{
|
| 808 |
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|
| 809 |
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|
| 810 |
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|
| 811 |
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|
| 812 |
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|
| 813 |
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|
| 814 |
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|
| 815 |
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|
| 816 |
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|
| 817 |
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|
| 818 |
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|
| 819 |
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|
| 820 |
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|
| 821 |
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|
| 822 |
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|
| 823 |
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|
| 824 |
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|
| 825 |
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|
| 826 |
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|
| 827 |
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| 828 |
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| 829 |
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| 830 |
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| 831 |
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|
| 832 |
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|
| 833 |
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| 834 |
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|
| 835 |
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|
| 836 |
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| 837 |
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|
| 838 |
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|
| 839 |
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| 840 |
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| 841 |
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|
| 842 |
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|
| 843 |
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|
| 844 |
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|
| 845 |
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|
| 846 |
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| 847 |
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| 848 |
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| 849 |
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| 850 |
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|
| 851 |
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| 852 |
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|
| 853 |
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| 854 |
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| 855 |
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| 856 |
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| 857 |
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| 858 |
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| 859 |
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|
| 860 |
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| 861 |
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| 862 |
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| 863 |
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| 864 |
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| 865 |
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| 866 |
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| 867 |
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| 868 |
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| 869 |
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| 870 |
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|
| 871 |
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|
| 872 |
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| 873 |
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| 874 |
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| 875 |
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| 876 |
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|
| 877 |
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|
| 878 |
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|
| 879 |
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{
|
| 880 |
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|
| 881 |
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|
| 882 |
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| 883 |
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| 884 |
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|
| 885 |
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|
| 886 |
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|
| 887 |
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| 888 |
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{
|
| 889 |
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|
| 890 |
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|
| 891 |
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|
| 892 |
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|
| 893 |
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|
| 894 |
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|
| 895 |
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|
| 896 |
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|
| 897 |
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{
|
| 898 |
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|
| 899 |
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|
| 900 |
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|
| 901 |
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|
| 902 |
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|
| 903 |
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|
| 904 |
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|
| 905 |
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|
| 906 |
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{
|
| 907 |
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|
| 908 |
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| 909 |
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| 910 |
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| 911 |
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| 912 |
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| 913 |
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| 914 |
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| 915 |
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| 916 |
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| 917 |
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| 918 |
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| 919 |
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| 920 |
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|
| 921 |
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|
| 922 |
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|
| 923 |
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| 924 |
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{
|
| 925 |
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|
| 926 |
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| 927 |
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| 928 |
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|
| 929 |
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|
| 930 |
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|
| 931 |
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|
| 932 |
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| 933 |
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|
| 934 |
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|
| 935 |
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| 936 |
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|
| 937 |
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|
| 938 |
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| 939 |
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| 940 |
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|
| 941 |
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| 942 |
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{
|
| 943 |
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|
| 944 |
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|
| 945 |
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| 946 |
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| 947 |
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|
| 948 |
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|
| 949 |
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|
| 950 |
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|
| 951 |
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{
|
| 952 |
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|
| 953 |
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| 954 |
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| 955 |
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|
| 956 |
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|
| 957 |
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|
| 958 |
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|
| 959 |
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|
| 960 |
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{
|
| 961 |
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|
| 962 |
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|
| 963 |
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|
| 964 |
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|
| 965 |
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|
| 966 |
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|
| 967 |
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|
| 968 |
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|
| 969 |
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|
| 970 |
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|
| 971 |
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|
| 972 |
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|
| 973 |
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|
| 974 |
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|
| 975 |
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|
| 976 |
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|
| 977 |
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|
| 978 |
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{
|
| 979 |
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|
| 980 |
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|
| 981 |
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|
| 982 |
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|
| 983 |
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|
| 984 |
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|
| 985 |
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"special": true
|
| 986 |
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}
|
| 987 |
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],
|
| 988 |
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"normalizer": null,
|
| 989 |
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"pre_tokenizer": {
|
| 990 |
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"type": "Whitespace"
|
| 991 |
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},
|
| 992 |
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"post_processor": null,
|
| 993 |
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"decoder": {
|
| 994 |
+
"type": "WordPiece",
|
| 995 |
+
"prefix": "##",
|
| 996 |
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"cleanup": true
|
| 997 |
+
},
|
| 998 |
+
"model": {
|
| 999 |
+
"type": "WordLevel",
|
| 1000 |
+
"vocab": {
|
| 1001 |
+
"[CLS]": 0,
|
| 1002 |
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"[SEP]": 1,
|
| 1003 |
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"[PAD]": 3,
|
| 1004 |
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"[UNK]": 4,
|
| 1005 |
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"[BOS]": 5,
|
| 1006 |
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"[EOS]": 6,
|
| 1007 |
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"[": 7,
|
| 1008 |
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"]": 8,
|
| 1009 |
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"?": 9,
|
| 1010 |
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"AdvanceBlock": 10,
|
| 1011 |
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"BearishClosingMarubozu": 11,
|
| 1012 |
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"BearishDojiStar": 12,
|
| 1013 |
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"BearishEngulfing": 13,
|
| 1014 |
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"BearishGapDown": 14,
|
| 1015 |
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"BearishHarami": 15,
|
| 1016 |
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"BearishKicker": 16,
|
| 1017 |
+
"BearishKickerWithGap": 17,
|
| 1018 |
+
"BearishMarubozu": 18,
|
| 1019 |
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"BearishMatchingHighsWithConfirmation": 19,
|
| 1020 |
+
"BearishMeetingLine": 20,
|
| 1021 |
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"BearishOpeningMarubozu": 21,
|
| 1022 |
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"BearishPinBar": 22,
|
| 1023 |
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"BearishSideBySideBlackLines": 23,
|
| 1024 |
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"BullishClosingMarubozu": 24,
|
| 1025 |
+
"BullishDeliberation": 25,
|
| 1026 |
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"BullishDojiStar": 26,
|
| 1027 |
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"BullishEngulfing": 27,
|
| 1028 |
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"BullishGapUp": 28,
|
| 1029 |
+
"BullishHarami": 29,
|
| 1030 |
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"BullishKicker": 30,
|
| 1031 |
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"BullishKickerWithGap": 31,
|
| 1032 |
+
"BullishMarubozu": 32,
|
| 1033 |
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"BullishMatchingLowsWithConfirmation": 33,
|
| 1034 |
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"BullishMeetingLine": 34,
|
| 1035 |
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"BullishOpeningMarubozu": 35,
|
| 1036 |
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"BullishPinBar": 36,
|
| 1037 |
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"BullishSideBySideWhiteLines": 37,
|
| 1038 |
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"CLS": 38,
|
| 1039 |
+
"DarkCloudCover": 39,
|
| 1040 |
+
"Doji": 40,
|
| 1041 |
+
"DownsideGapTwoRabbits": 41,
|
| 1042 |
+
"DownsideTasukiGap": 42,
|
| 1043 |
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"Downtrend": 43,
|
| 1044 |
+
"EveningStar": 44,
|
| 1045 |
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"GravestoneDoji": 45,
|
| 1046 |
+
"Hammer": 46,
|
| 1047 |
+
"HangingMan": 47,
|
| 1048 |
+
"InsideBarBearish": 48,
|
| 1049 |
+
"InsideBarBullish": 49,
|
| 1050 |
+
"InvertedHammer": 50,
|
| 1051 |
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"KeltnerChannel_1": 51,
|
| 1052 |
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"KeltnerChannel_2": 52,
|
| 1053 |
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"KeltnerChannel_3": 53,
|
| 1054 |
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"MACD_1": 54,
|
| 1055 |
+
"MACD_2": 55,
|
| 1056 |
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"MACD_3": 56,
|
| 1057 |
+
"MACD_4": 57,
|
| 1058 |
+
"MACD_5": 58,
|
| 1059 |
+
"MorningStar": 59,
|
| 1060 |
+
"NoPattern": 60,
|
| 1061 |
+
"OneBlackCrow": 61,
|
| 1062 |
+
"OneWhiteSoldier": 62,
|
| 1063 |
+
"PiercingPattern": 63,
|
| 1064 |
+
"RSI_1": 64,
|
| 1065 |
+
"RSI_2": 65,
|
| 1066 |
+
"RSI_3": 66,
|
| 1067 |
+
"Range": 67,
|
| 1068 |
+
"SEP": 68,
|
| 1069 |
+
"ShavenBottom": 69,
|
| 1070 |
+
"ShavenHead": 70,
|
| 1071 |
+
"ShootingStar": 71,
|
| 1072 |
+
"StochasticMain_1": 72,
|
| 1073 |
+
"StochasticMain_2": 73,
|
| 1074 |
+
"StochasticMain_3": 74,
|
| 1075 |
+
"StochasticSig_1": 75,
|
| 1076 |
+
"StochasticSig_2": 76,
|
| 1077 |
+
"StochasticSig_3": 77,
|
| 1078 |
+
"ThreeInsideDown": 78,
|
| 1079 |
+
"ThreeInsideUp": 79,
|
| 1080 |
+
"ThreeOutsideDown": 80,
|
| 1081 |
+
"ThreeOutsideUp": 81,
|
| 1082 |
+
"ThreeStarsInTheSouth": 82,
|
| 1083 |
+
"ThreeWhiteSoldiers": 83,
|
| 1084 |
+
"TweezerBottoms": 84,
|
| 1085 |
+
"TweezerTops": 85,
|
| 1086 |
+
"UpsideGapTwoCrows": 86,
|
| 1087 |
+
"UpsideTasukiGap": 87,
|
| 1088 |
+
"Uptrend": 88,
|
| 1089 |
+
"VolumeCategory_High": 89,
|
| 1090 |
+
"VolumeCategory_Low": 90,
|
| 1091 |
+
"VolumeCategory_MidHigh": 91,
|
| 1092 |
+
"VolumeCategory_MidLow": 92,
|
| 1093 |
+
"VolumeCategory_Normal": 93,
|
| 1094 |
+
"VolumeCategory_VeryHigh": 94,
|
| 1095 |
+
"big": 95,
|
| 1096 |
+
"double": 96,
|
| 1097 |
+
"market": 97,
|
| 1098 |
+
"medium": 98,
|
| 1099 |
+
"next": 99,
|
| 1100 |
+
"small": 100,
|
| 1101 |
+
"triple": 101,
|
| 1102 |
+
"very": 102
|
| 1103 |
+
},
|
| 1104 |
+
"unk_token": "[UNK]"
|
| 1105 |
+
}
|
| 1106 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,985 @@
|
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|
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|
|
|
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|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[CLS]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "[SEP]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"3": {
|
| 20 |
+
"content": "[PAD]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"4": {
|
| 28 |
+
"content": "[UNK]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"5": {
|
| 36 |
+
"content": "[BOS]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
},
|
| 43 |
+
"6": {
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"<extra_id_32>",
|
| 910 |
+
"<extra_id_33>",
|
| 911 |
+
"<extra_id_34>",
|
| 912 |
+
"<extra_id_35>",
|
| 913 |
+
"<extra_id_36>",
|
| 914 |
+
"<extra_id_37>",
|
| 915 |
+
"<extra_id_38>",
|
| 916 |
+
"<extra_id_39>",
|
| 917 |
+
"<extra_id_40>",
|
| 918 |
+
"<extra_id_41>",
|
| 919 |
+
"<extra_id_42>",
|
| 920 |
+
"<extra_id_43>",
|
| 921 |
+
"<extra_id_44>",
|
| 922 |
+
"<extra_id_45>",
|
| 923 |
+
"<extra_id_46>",
|
| 924 |
+
"<extra_id_47>",
|
| 925 |
+
"<extra_id_48>",
|
| 926 |
+
"<extra_id_49>",
|
| 927 |
+
"<extra_id_50>",
|
| 928 |
+
"<extra_id_51>",
|
| 929 |
+
"<extra_id_52>",
|
| 930 |
+
"<extra_id_53>",
|
| 931 |
+
"<extra_id_54>",
|
| 932 |
+
"<extra_id_55>",
|
| 933 |
+
"<extra_id_56>",
|
| 934 |
+
"<extra_id_57>",
|
| 935 |
+
"<extra_id_58>",
|
| 936 |
+
"<extra_id_59>",
|
| 937 |
+
"<extra_id_60>",
|
| 938 |
+
"<extra_id_61>",
|
| 939 |
+
"<extra_id_62>",
|
| 940 |
+
"<extra_id_63>",
|
| 941 |
+
"<extra_id_64>",
|
| 942 |
+
"<extra_id_65>",
|
| 943 |
+
"<extra_id_66>",
|
| 944 |
+
"<extra_id_67>",
|
| 945 |
+
"<extra_id_68>",
|
| 946 |
+
"<extra_id_69>",
|
| 947 |
+
"<extra_id_70>",
|
| 948 |
+
"<extra_id_71>",
|
| 949 |
+
"<extra_id_72>",
|
| 950 |
+
"<extra_id_73>",
|
| 951 |
+
"<extra_id_74>",
|
| 952 |
+
"<extra_id_75>",
|
| 953 |
+
"<extra_id_76>",
|
| 954 |
+
"<extra_id_77>",
|
| 955 |
+
"<extra_id_78>",
|
| 956 |
+
"<extra_id_79>",
|
| 957 |
+
"<extra_id_80>",
|
| 958 |
+
"<extra_id_81>",
|
| 959 |
+
"<extra_id_82>",
|
| 960 |
+
"<extra_id_83>",
|
| 961 |
+
"<extra_id_84>",
|
| 962 |
+
"<extra_id_85>",
|
| 963 |
+
"<extra_id_86>",
|
| 964 |
+
"<extra_id_87>",
|
| 965 |
+
"<extra_id_88>",
|
| 966 |
+
"<extra_id_89>",
|
| 967 |
+
"<extra_id_90>",
|
| 968 |
+
"<extra_id_91>",
|
| 969 |
+
"<extra_id_92>",
|
| 970 |
+
"<extra_id_93>",
|
| 971 |
+
"<extra_id_94>",
|
| 972 |
+
"<extra_id_95>",
|
| 973 |
+
"<extra_id_96>",
|
| 974 |
+
"<extra_id_97>",
|
| 975 |
+
"<extra_id_98>",
|
| 976 |
+
"<extra_id_99>"
|
| 977 |
+
],
|
| 978 |
+
"clean_up_tokenization_spaces": true,
|
| 979 |
+
"eos_token": "</s>",
|
| 980 |
+
"extra_ids": 100,
|
| 981 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 982 |
+
"pad_token": "<pad>",
|
| 983 |
+
"tokenizer_class": "T5Tokenizer",
|
| 984 |
+
"unk_token": "<unk>"
|
| 985 |
+
}
|