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README.md
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This is a template repository for token classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
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1. Specify the requirements by defining a `requirements.txt` file.
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2. Implement the `pipeline.py` `__init__` and `__call__` methods. These methods are called by the Inference API. The `__init__` method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The `__call__` method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.
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This is a template repository for token classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
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1. Specify the requirements by defining a `requirements.txt` file.
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2. Implement the `pipeline.py` `__init__` and `__call__` methods. These methods are called by the Inference API. The `__init__` method should load the model and preload all the elements needed for inference (model, processors, tokenizers, etc.). This is only called once. The `__call__` method performs the actual inference. Make sure to follow the same input/output specifications defined in the template for the pipeline to work.
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Example repos
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* https://huggingface.co/osanseviero/en_core_web_sm/blob/main/pipeline.py
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