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  library_name: generic
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- # Feature Extraction repository template
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-
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- This is a template repository for feature extraction to support generic inference with Hugging Face Hub generic Inference API. There are two required steps
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-
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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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-
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- Example repos
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- * https://huggingface.co/osanseviero/fasttext_english
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-
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- ## How to start
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- First create a repo in https://hf.co/new.
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- Then clone this template and push it to your repo.
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- ```
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- git clone https://huggingface.co/templates/feature-extraction
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- cd feature-extraction
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- git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
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- git push --force
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- ```
 
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  library_name: generic
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+ random test repo