google-research/text-to-text-transfer-transformer

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

The Hugging Face course on Transformers

TensorFlow code and pre-trained models for BERT

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Notebooks using the Hugging Face libraries 🤗

Code for the paper "Language Models are Unsupervised Multitask Learners"

Train transformer language models with reinforcement learning.

🤗 AutoTrain Advanced

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.