Upload LayoutLMv3ForTokenClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
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+### Model Sources [optional]
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+<!-- Provide the basic links for the model. -->
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+- **Repository:** [More Information Needed]
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+## Uses
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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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+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+[More Information Needed]
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+### Downstream Use [optional]
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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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+### Out-of-Scope Use
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+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+## Bias, Risks, and Limitations
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+[More Information Needed]
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+### Recommendations
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+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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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.
+
+## How to Get Started with the Model
+
+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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+#### 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 -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
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+## Technical Specifications [optional]
+
+### 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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+## 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]

config.json

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+{
+  "_name_or_path": "microsoft/layoutlmv3-base",
+  "architectures": [
+    "LayoutLMv3ForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "coordinate_size": 128,
+  "eos_token_id": 2,
+  "has_relative_attention_bias": true,
+  "has_spatial_attention_bias": true,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "OTHER",
+    "1": "B-ADDRESS",
+    "10": "B-VIN",
+    "11": "I-ADDRESS",
+    "12": "I-CITY",
+    "13": "I-CUSTOMER",
+    "14": "I-MAKE",
+    "15": "I-MOBILE",
+    "16": "I-MODEL",
+    "17": "I-SSN",
+    "18": "I-TRIM",
+    "19": "I-VEHYEAR",
+    "2": "B-CITY",
+    "20": "I-VIN",
+    "3": "B-CUSTOMER",
+    "4": "B-MAKE",
+    "5": "B-MOBILE",
+    "6": "B-MODEL",
+    "7": "B-SSN",
+    "8": "B-TRIM",
+    "9": "B-VEHYEAR"
+  },
+  "initializer_range": 0.02,
+  "input_size": 224,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-ADDRESS": 1,
+    "B-CITY": 2,
+    "B-CUSTOMER": 3,
+    "B-MAKE": 4,
+    "B-MOBILE": 5,
+    "B-MODEL": 6,
+    "B-SSN": 7,
+    "B-TRIM": 8,
+    "B-VEHYEAR": 9,
+    "B-VIN": 10,
+    "I-ADDRESS": 11,
+    "I-CITY": 12,
+    "I-CUSTOMER": 13,
+    "I-MAKE": 14,
+    "I-MOBILE": 15,
+    "I-MODEL": 16,
+    "I-SSN": 17,
+    "I-TRIM": 18,
+    "I-VEHYEAR": 19,
+    "I-VIN": 20,
+    "OTHER": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_2d_position_embeddings": 1024,
+  "max_position_embeddings": 514,
+  "max_rel_2d_pos": 256,
+  "max_rel_pos": 128,
+  "model_type": "layoutlmv3",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "patch_size": 16,
+  "rel_2d_pos_bins": 64,
+  "rel_pos_bins": 32,
+  "second_input_size": 112,
+  "shape_size": 128,
+  "text_embed": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4",
+  "type_vocab_size": 1,
+  "visual_embed": true,
+  "vocab_size": 50265
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e7739fcc215c1b3a59b9c79077b6e1ef51b32494aa28980797e0efd3215fafa4
+size 503761196