LeroyDyer
/

SpydazWeb_VisonEncoderDecoder_Project

@@ -5,7 +5,7 @@ language:
 - en
 ---
-# Model Card for Model ID
 <!-- Provide a quick summary of what the model is/does. -->
@@ -19,49 +19,13 @@ language:
 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]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
 - **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
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-- **Finetuned from model [optional]:** [More Information Needed]
-### Model Sources [optional]
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-## Uses
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 ### Recommendations
@@ -104,7 +68,9 @@ generated_text = processor.batch_decode(generated_ids, skip_special_tokens=True)
 ## Training Details
-```
 from transformers import ViTImageProcessor, AutoTokenizer, VisionEncoderDecoderModel
 from datasets import load_dataset
@@ -134,83 +100,6 @@ loss = model(pixel_values=pixel_values, labels=labels).loss
 ```
-### Training Data
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-### Training Procedure
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-#### Preprocessing [optional]
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-#### Training Hyperparameters
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-#### Speeds, Sizes, Times [optional]
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-## Evaluation
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-#### Summary
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-## Environmental Impact
-<!-- 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).
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-## Technical Specifications [optional]
 ### Model Architecture and Objective
 ``` python
@@ -243,44 +132,4 @@ model = VisionEncoderDecoderModel.from_pretrained("my-model", config=encoder_dec
 ```
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 - en
 ---
+# LeroyDyer/Mixtral_AI_Cyber_Q_Vision
 <!-- Provide a quick summary of what the model is/does. -->
 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:** [LeroyDyer]
 - **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [English]
 ### Recommendations
 ## Training Details
+```python
 from transformers import ViTImageProcessor, AutoTokenizer, VisionEncoderDecoderModel
 from datasets import load_dataset
 ```
 ### Model Architecture and Objective
 ``` python
 ```