The GitHub for AI models, datasets, and spaces
Hugging Face is the central hub for open-source AI. Access 500,000+ models, 100,000+ datasets, and 100,000+ demo apps (Spaces). Integrated with fal.ai, Replicate, SambaNova, and Together AI for serverless inference. The essential platform for every AI developer.
4 ready-to-use prompts — click any card to copy, or paste into the writer above.
I need a text classification model for sentiment analysis on customer reviews in Spanish. Requirements: pre-trained on social media text, at least 90% accuracy on standard benchmarks, small enough to run on a single GPU, has an active model card with evaluation results.
Compare the top 3 open-source models for code generation tasks: Codestral, DeepSeek-Coder, and Code Llama. Compare on: context window, languages supported, benchmark scores, license type, and recommended use cases.
Find datasets suitable for fine-tuning a conversational AI model for customer service in the e-commerce domain. I need at least 10,000 examples, must include multi-turn dialogues, and should be available under a commercial-friendly license.
I want to build a Hugging Face Space that lets users upload an image and get a detailed description using a vision-language model. What model should I use, what framework (Gradio or Streamlit), and can you give me the basic app.py code to get started?
