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Hugging Face · GitHub
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
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🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
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🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
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transformers
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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trl
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Train transformer language models with reinforcement learning.
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🔥The Web-scale GUI for MongoDB
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chat-ui
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Open source codebase powering the HuggingChat app
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diffusers
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🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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optimum-neuron
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Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
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🤗 smolagents: a barebones library for agents that think in code.
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aisheets
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Build, enrich, and transform datasets using AI models with no code
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