This skill trains or fine-tunes language models on Hugging Face Jobs using TRL, with SFT, DPO, GRPO, reward modeling and GGUF deployment.
npx playbooks add skill huggingface/skills --skill hugging-face-model-trainer
Built for automation & integrations workflows, Hugging Face Model Trainer helps AI coding agents this skill trains or fine-tunes language models on hugging face jobs using trl, with sft, dpo, grpo, reward modeling and gguf deployment.
The 22-word prompt provides structured automation & integrations guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill trains or fine-tunes language models on Hugging Face Jobs using TRL, with SFT, DPO, GRPO, reward modeling and GGUF deployment.
Hugging Face Model Trainer is a free automation & integrations skill for AI coding agents. This skill trains or fine-tunes language models on Hugging Face Jobs using TRL, with SFT, DPO, GRPO, reward modeling and GGUF deployment.. It provides a specialized system prompt that configures your agent with automation & integrations expertise.
Run npx playbooks add skill huggingface/skills --skill hugging-face-model-trainer in your terminal to install Hugging Face Model Trainer into your Claude Code session. It works immediately after installation.
Hugging Face Model Trainer is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Hugging Face Model Trainer is completely free and open source. The full source is available on GitHub at https://github.com/huggingface/skills/tree/main/skills/hugging-face-model-trainer. You only need a subscription to the AI agent you use it with.
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