readme: ---
  tags:
  - token-classification
  library_name: generic
  ---
  
  # Token Classification repository template
  
  This is a template repository for token 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/en_core_web_sm/blob/main/pipeline.py
  
  ## 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/token-classification
  cd token-classification
  git remote set-url origin https://huggingface.co/$YOUR_USER/$YOUR_REPO_NAME
  git push --force
  ```