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"name": "ml-intern",
"version": "0.1.0",
"description": "Hugging Face ML Intern for Codex — research ML papers, inspect models and datasets, run training and evaluation jobs, and ship ML artifacts.",
"author": {
"name": "Hugging Face",
"email": "agents@huggingface.co",
"url": "https://github.com/huggingface"
},
"homepage": "https://huggingface.co/docs/hub/agents-skills",
"repository": "https://github.com/razvan/ml-intern-codex-plugin",
"license": "Apache-2.0",
"keywords": ["huggingface", "ml", "machine-learning", "training", "fine-tuning", "evaluation", "datasets", "models"],
"skills": "./skills/",
"interface": {
"displayName": "ML Intern",
"shortDescription": "Hugging Face ML engineering agent for Codex",
"longDescription": "ML Intern is an autonomous ML engineering agent for the Hugging Face ecosystem. It researches papers, validates datasets and models, writes training/evaluation code, runs HF Jobs, and ships ML artifacts with zero avoidable errors.",
"developerName": "Hugging Face",
"category": "Coding",
"capabilities": ["Interactive", "Read", "Write"],
"websiteURL": "https://huggingface.co",
"defaultPrompt": [
"Fine-tune a language model on a custom dataset using Hugging Face Jobs",
"Find the best open-source embedding model and benchmark it",
"Research papers on preference optimization and implement DPO training"
],
"brandColor": "#FF6B00"
}
}
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