Text Generation
Transformers
Safetensors
DIVEdoc
docvqa
distillation
VLM
document-understanding
OCR-free
custom_code
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Update README.md

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@@ -42,8 +42,8 @@ from transformers import AutoModelForCausalLM
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  AutoModelForCausalLM.from_pretrained("JayRay5/DIVE-Doc-FRD",trust_remote_code=True)
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  ```
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- ### Use from the GitHub repository
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- #### Installation
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  ```bash
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  git clone https://github.com/JayRay5/DIVE-Doc.git
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  cd DIVE-Doc
@@ -51,7 +51,7 @@ conda create -n dive-doc-env python=3.11.5
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  conda activate dive-doc-env
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  pip install -r requirements.txt
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  ```
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- #### Inference example using the model repository and gradio
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  In app.py, modify the path variable to "JayRay5/DIVE-Doc-FRD":
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  ```bash
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  if __name__ == "__main__":
 
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  AutoModelForCausalLM.from_pretrained("JayRay5/DIVE-Doc-FRD",trust_remote_code=True)
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  ```
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+ #### from the GitHub repository
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+ ##### Installation
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  ```bash
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  git clone https://github.com/JayRay5/DIVE-Doc.git
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  cd DIVE-Doc
 
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  conda activate dive-doc-env
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  pip install -r requirements.txt
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  ```
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+ ##### Inference example using the model repository and gradio
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  In app.py, modify the path variable to "JayRay5/DIVE-Doc-FRD":
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  ```bash
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  if __name__ == "__main__":