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----
-tags:
-   - automatic-speech-recognition
-library_name: generic
----
-
-# Automatic Speech Recognition repository template
-
-This is a template repository for Automatic Speech Recognition 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/pyctcdecode_asr
-
-## 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/automatic-speech-recognition
-cd automatic-speech-recognition
-git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
-git push --force
-```