This is a template repository for Text Classification to support generic inference with Hugging Face Hub generic Inference API. There are two required steps:
Specify the requirements by defining a
requirements.txt
file.
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.
How to start
First create a repo in
https://hf.co/new
.
Then clone this template and push it to your repo.
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