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  • Hugging Face – The AI community building the future.
    The AI community building the future The platform where the machine learning community collaborates on models, datasets, and applications
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  • Hugging Face - Learn
    We’re on a journey to advance and democratize artificial intelligence through open source and open science
  • Hugging Face - Documentation
    Huggingface js JavaScript libraries for Hugging Face with built-in TS types Tasks Explore demos, models, and datasets for any ML tasks Dataset viewer API for metadata, stats, and content of HF Hub datasets Deployment Inference Inference Providers Call 200k+ models hosted by our 10+ Inference partners
  • deepseek-ai DeepSeek-V3 · Hugging Face
    🤗 HuggingFace NOTE: The total size of DeepSeek-V3 models on HuggingFace is 685B, which includes 671B of the Main Model weights and 14B of the Multi-Token Prediction (MTP) Module weights To ensure optimal performance and flexibility, we have partnered with open-source communities and hardware vendors to provide multiple ways to run the model
  • huggingface (Hugging Face)
    The AI community building the future 👋 Hi! We are on a mission to democratize good machine learning, one commit at a time If that sounds like something you should be doing, why don't you join us! For press enquiries, you can ️ contact our team here
  • Models - Hugging Face
    We’re on a journey to advance and democratize artificial intelligence through open source and open science
  • Hugging Face Hub documentation
    Hugging Face Hub documentation The Hugging Face Hub is a platform with over 1 7M models, 400k datasets, and 600k demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together
  • Welcome - Hugging Face
    Image Generation Find the perfect LoRA for image generation Leaderboard Compare AI models New
  • User access tokens - Hugging Face
    Access tokens allow applications and notebooks to perform specific actions specified by the scope of the roles shown in the following: fine-grained: tokens with this role can be used to provide fine-grained access to specific resources, such as a specific model or models in a specific organization This type of token is useful in production environments, as you can use your own token without





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