Update README.md
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# Using `cookiecutter` to generate models
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# Using `cookiecutter` to generate models
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This folder contains templates to generate new models that fit the current API and pass all tests. It generates
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This folder contains templates to generate new models that fit the current API and pass all tests. It generates
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models in both PyTorch and TensorFlow, completes the `__init__.py` and auto-modeling files, and creates the
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models in both PyTorch, TensorFlow, and Flax and completes the `__init__.py` and auto-modeling files, and creates the
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documentation.
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documentation.
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## Usage
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## Usage
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- You should run the `make fixup` utility to fix the style of the files and to ensure the code quality meets the
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- You should run the `make fixup` utility to fix the style of the files and to ensure the code quality meets the
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library's standards.
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library's standards.
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- You should complete the documentation file (`docs/source/model_doc/<model_name>.rst`) so that your model may be
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- You should complete the documentation file (`docs/source/model_doc/<model_name>.rst`) so that your model may be
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usable.
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usable.
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