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