Hugging Face Transformers

llm-integration | model-hub

Overview

Hugging Face Transformers is the most widely-used open-source library for working with LLMs and transformer models. It provides a unified API for thousands of pretrained models.

Key Features

• 50,000+ models: From BERT to GPT-4, coverage of all major architectures
• AutoModel: One line to load any model from the hub
• Trainer API: Built-in training loop with distributed support
• Tokenizers: Fast Rust-based tokenizers

Relationship to Other Projects

• Used by virtually every LLM project as the underlying engine
• Competes with litgpt for training and vLLM for serving
• Works with llamaindex and haystack for RAG

References

• GitHub: https://github.com/huggingface/transformers
• Website: https://huggingface.co/docs/transformers