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--- |
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tags: |
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- feature-extraction |
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library_name: generic |
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--- |
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# Feature Extraction repository template |
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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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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/fasttext_english |
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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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``` |
