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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 traini…
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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 traini…
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The official Python client for the Hugging Face Hub.
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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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PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
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Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
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🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
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🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
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Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mix…
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Sharing both practical insights and theoretical knowledge about LLM evaluation that we gathered while managing the Open LLM Leaderboard and designing lighteval!
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✨Fast Coreference Resolution in spaCy with Neural Networks
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🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
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🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.