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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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