Files
HuggingFace_transformer/templates/adding_a_new_example_script
Julien Chaumond 042a6aa777 Tokenizers: ability to load from model subfolder (#8586)
* <small>tiny typo</small>

* Tokenizers: ability to load from model subfolder

* use subfolder for local files as well

* Uniformize model shortcut name => model id

* from s3 => from huggingface.co

Co-authored-by: Quentin Lhoest <lhoest.q@gmail.com>
2020-11-17 08:58:45 -05:00
..

How to add a new example script in 🤗 Transformers

This folder provide a template for adding a new example script implementing a training or inference task with the models in the 🤗 Transformers library. To use it, you will need to install cookiecutter:

pip install cookiecutter

or refer to the installation page of the cookiecutter documentation.

You can then run the following command inside the examples folder of the transformers repo:

cookiecutter ../templates/adding_a_new_example_script/

and answer the questions asked, which will generate a new folder where you will find a pre-filled template for your example following the best practices we recommend for them.

Adjust the way the data is preprocessed, the model is loaded or the Trainer is instantiated then when you're happy, add a README.md in the folder (or complete the existing one if you added a script to an existing folder) telling a user how to run your script.

Make a PR to the 🤗 Transformers repo. Don't forget to tweet about your new example with a carbon screenshot of how to run it and tag @huggingface!