Build Gradio web UIs and ML demos in Python with the current API — components, layouts, events, and chat interfaces.
Hugging Face
The Hugging Face hub — models, datasets, Spaces and the libraries that load them.
6 skills and 1 MCP server tagged Hugging Face.
Skills
Skill: Local Model Selection
by Hugging Face
Choose and run the right local model with llama.cpp and GGUF — quantisation, hardware fit, and local serving.
Skill: LLM Fine-Tuning with TRL
by Hugging Face
Fine-tune language and vision models with TRL or Unsloth — supervised, preference, and reinforcement training methods.
Skill: Transformers.js
by Hugging Face
Run machine learning models directly in the browser or Node with Transformers.js — no inference server required.
Skill: Hugging Face Spaces
by Hugging Face
Deploy and maintain applications on Hugging Face Spaces — SDK choice, GPU hardware, model loading, and debugging.
Skill: Hugging Face CLI
by Hugging Face
Hugging Face's official CLI skill — download, upload, and manage models, datasets, Spaces, and Jobs from the terminal.
MCP servers
MCP: Hugging Face
by Hugging Face
Official Hugging Face MCP server: search models, datasets, Spaces and papers on the Hub, read repository files, and call Gradio apps as agent tools.
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