Hugging Face

Apache-2.0 library for running raw PyTorch training and inference code across CPU, GPU, TPU, DeepSpeed, FSDP, and mixed-precision environments.

Apache-2.0 library for loading, sharing, streaming, inspecting, and preprocessing AI datasets from the Hugging Face Hub or local files.

Apache-2.0 library for pretrained diffusion model pipelines, schedulers, adapters, optimization, and training workflows for image, video, and audio generation in PyTorch.

Apache-2.0 library for loading, computing, comparing, saving, and sharing evaluation modules for machine learning models and datasets.

Access Hugging Face Hub and Gradio AI applications

Apache-2.0 library for parameter-efficient fine-tuning of large pretrained models with adapters, LoRA, prompt tuning, Transformers, Diffusers, and Accelerate.

Official Hugging Face Agent Skills collection for Claude Code, Codex, Cursor, Gemini CLI, and other skills-compatible agents, covering Hub CLI workflows, datasets, model search, Spaces, Gradio, fine-tuning, evaluations, local models, papers, Trackio, ZeroGPU, transformers.js, TRL, and the Hugging Face MCP server.

Hugging Face Python agent library for CodeAgent and ToolCallingAgent workflows, where agents write Python actions, call tools, use MCP tool collections, connect to Hub tools and spaces, run with LiteLLM or local models, and use optional sandboxes.

Apache-2.0 model-definition framework for pretrained text, vision, audio, video, and multimodal models across inference, training, pipelines, generation, and fine-tuning.

Apache-2.0 Python framework from Hugging Face for dense embeddings, sparse embeddings, semantic search, reranking, multimodal retrieval, and embedding-model training.