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train · 28 rows

library stringlengths 3 27	category stringlengths 3 12	description stringlengths 20 108
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

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