State-of-the-Art Embeddings, Retrieval, and Reranking
🤗 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.
A library for mechanistic interpretability of GPT-style language models
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Models, data loaders and abstractions for language processing, powered by PyTorch
1 capture since 2026-05-25
