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Hugging Face – The AI community building the future.

发布时间:2026-11-04 | 浏览:1
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The platform where the machine learning community collaborates on models, datasets, and applications. Qwen Image 2.1 Uncensored Uncensored Qwen-Image-2.1 generate + edit Wan2.2 14B Preview generate a video from an image with a text prompt SimReady Central Semantic search for 3D assets: USD + RTX simulation previews One image to a 3D object (Gaussian splats) BFS Best Face Swap Head swap with the BFS LoRA on Qwen-Image-2.1 (+turbo) The Home of Machine Learning Create, discover and collaborate on ML better. The collaboration platform Host and collaborate on unlimited public models, datasets and applications. With the HF Open source stack. Explore all modalities Text, image, video, audio or even 3D. Build your portfolio Share your work with the world and build your ML profile. Accelerate your ML We provide paid Compute and Enterprise solutions. Team & Enterprise Give your team the most advanced platform to build AI with enterprise-grade security, access controls and dedicated support.
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Starting at $20/user/month Inference Providers Access 45,000+ models from leading AI providers through a single, unified API with no service fees. Deploy on optimized Inference Endpoints or update your Spaces applications to a GPU in a few clicks. Starting at $0.60/hour for GPU More than 400,000 organizations are using Hugging Face Our Open Source We are building the foundation of ML tooling with the community. State-of-the-art AI models for PyTorch State-of-the-art Diffusion models in PyTorch Safe way to store/distribute neural network weights Hub Python Library Python client to interact with the Hugging Face Hub Fast tokenizers optimized for research & production Train transformers LMs with reinforcement learning Transformers.js State-of-the-art ML running directly in your browser Smol library to build great agents in Python Parameter-efficient finetuning for large language models Access & share datasets for any ML tasks Text Generation Inference Serve language models with TGI optimized toolkit Train PyTorch models with multi-GPU, TPU, mixed precision
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