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Documentations
Hub
Host Git-based models, datasets and Spaces on the Model Database Hub.
Transformers
State-of-the-art ML for Pytorch, TensorFlow, and JAX.
Diffusers
State-of-the-art diffusion models for image and audio generation in PyTorch.
Datasets
Access and share datasets for computer vision, audio, and NLP tasks.
Gradio
Build machine learning demos and other web apps, in just a few lines of Python.
Hub Python Library
Client library for the HF Hub: manage repositories from your Python runtime.
Huggingface.js
A collection of JS libraries to interact with Model Database, with TS types included.
Transformers.js
Community library to run pretrained models from Transformers in your browser.
Inference API
Experiment with over 200k models easily using our free Inference API.
Inference Endpoints
Easily deploy models to production on dedicated, fully managed infrastructure.
PEFT
Parameter efficient finetuning methods for large models
Accelerate
Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Optimum
Fast training and inference of HF Transformers with easy to use hardware optimization tools.
AWS Trainium & Inferentia
Train and Deploy Transformers & Diffusers with AWS Trainium and AWS Inferentia.
Tokenizers
Fast tokenizers, optimized for both research and production.
Evaluate
Evaluate and report model performance easier and more standardized.
Tasks
All things about ML tasks: demos, use cases, models, datasets, and more!
Datasets-server
API to access the contents, metadata and basic statistics of all Model Database Hub datasets.
TRL
Train transformer language models with reinforcement learning.
Amazon SageMaker
Train and Deploy Transformer models with Amazon SageMaker and Model Database DLCs.
timm
State-of-the-art computer vision models, layers, optimizers, training/evaluation, and utilities.
Safetensors
Simple, safe way to store and distribute neural networks weights safely and quickly.
Text Generation Inference
Toolkit to serve Large Language Models.
AutoTrain
AutoTrain API and UI
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