| library,category,description | |
| Transformers,models,Pretrained ML models | |
| Datasets,datasets,Access and preprocess datasets of any type and size for model training | |
| Tokenizers,tokenization,Rust-based implementations of the most common tokenization algorithms for research and production | |
| Diffusers,models,Pretrained diffusion models | |
| pytorch-image-models (timm),models,Pretrained image models | |
| LeRobot,models,Pretrained robotics models and datasets | |
| Sentence Transformers,models,Pretrained text and image embedding models | |
| Accelerate,training,Unified distributed training framework | |
| PEFT,training,Parameter efficient fine-tuning methods for efficiently adapting large pretrained models to downstream tasks | |
| TRL,training,Reinforcement learning methods for training transformer models | |
| SetFit,training,Few-shot fine-tuning methods for Sentence Transformers | |
| nanotron,training,Lightweight 3D parallelism pretraining for transformer models (production) | |
| picotron,training,Lightweight 4D parallelism pretraining for transformer models (educational) | |
| Optimum,optimization,Optimized training and inference for Transformers on specific hardware | |
| Quanto,quantization,Quantize model weights and activations | |
| bitsandbytes,quantization,8 and 4-bit model quantization | |
| Text generation inference,serving,Deploy and serve high-performance large language models for inference | |
| Text embeddings inference,serving,Deploy and serve high-performance text embedding models for inference | |
| Gradio,ML apps,Build and share ML apps | |
| Argilla,datasets,Collaboration tool for building high-quality datasets | |
| Distilabel,datasets,Framework for generating synthetic data and AI feedback | |
| candle,ML framework,Rust-based ML framework for enabling serverless inference | |
| smolagents,agents,Build and run agents | |
| transformers.js,ML framework,JavaScript implementation of Transformers for browsers | |
| Safetensors,models,New format for safely storing tensors | |
| huggingface_hub,Hub,Python client for the Hugging Face Hub | |
| huggingface.js,Hub,JavaScript libraries for interacting with the Hub API | |
| Lighteval,evaluation,Evaluate LLMs across multiple backends |