🤗 Transformers provides APIs to quickly download and use those pretrained models on a given text, fine-tune them on your own datasets and then share them with the community on our model hub. At the same time, each python module defining an architecture is fully standalone and can be modified to enable quick research experiments.
🤗 Transformers is backed by the three most popular deep learning libraries — Jax, PyTorch and TensorFlow — with a seamless integration between them. It's straightforward to train your models with one before loading them for inference with the other.
This is the documentation of our repository transformers. You can
also follow our online course that teaches how to use this library, as well as the
other libraries developed by Hugging Face and the Hub.
If you are looking for custom support from the Hugging Face team
