Browser-based AI image annotation for computer vision — draw one box and DINO-X labels every matching object across your whole dataset.
Machine Learning
Training, evaluating and serving models — datasets, fine-tuning, experiment tracking and the tooling around getting a model from notebook to endpoint.
1 app, 2 skills and 2 MCP servers tagged Machine Learning.
Apps
Skills
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: 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
The official W&B MCP server: query experiment runs, Weave LLM traces, artifacts and registries in natural language, and write findings back as a W&B report.
Hugging Face's official remote MCP server — search and inspect models, datasets and Spaces, browse the Hub filesystem over hf:// URIs, and turn Gradio Spaces into callable tools.
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