Hugging Face

Categories

HuggingFace:Hub - Host Git-based models, datasets and spaces on the Hugging Face Hub.
HuggingFace:Transformers - State-of-the-art ML for Pytorch, TensorFlow, and JAX.
HuggingFace:Datasets - Access and share datasets for NLP, computer vision, and audio tasks.
HuggingFace:Tokenizers - Fast tokenizers, optimized for both research and production.
HuggingFace:Gradio - Build machine learning demos and other web apps, in just a few lines of Python.
HuggingFace:Hub Client Library - Client library for the HF Hub: manage repositories from your Python runtime.
HuggingFace:API Inference - Use more than 30k models through our inference API, with scalability built-in.
HuggingFace:Accelerate - Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision.
HuggingFace:Amazon SageMaker - Train and Deploy Transformer models with Amazon SageMaker and Hugging Face DLCs.
HuggingFace:Optimum - Fast training and inference of HF Transformers with easy to use hardware optimization tools.
HuggingFace:Course - This course will teach you about natural language processing using libraries from the HF ecosystem.
HuggingFace:Evaluate - Evaluate and report model performance easier and more standardized.
HuggingFace:Tasks - All things about ML tasks: demos, use cases, models, datasets, and more!
HuggingFace:Datasets server - API to access the contents, metadata and basic statistics of the Hugging Face Hub datasets