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| tags: | |
| - image-classification | |
| library_name: generic | |
| # Image Classification repository template | |
| This is a template repository for image classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps | |
| 1. Specify the requirements by defining a `requirements.txt` file. | |
| 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. | |
| Example repos | |
| * https://huggingface.co/osanseviero/fastai_cat_vs_dog/tree/main | |
| ## How to start | |
| First create a repo in https://hf.co/new. | |
| Then clone this template and push it to your repo. | |
| ``` | |
| git clone https://huggingface.co/templates/image-classification | |
| cd image-classification | |
| git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME | |
| git push --force | |
| ``` |