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Hugging FaceTrl Training
Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training.
What does it do?
Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training.
Read the publisher's original description
Post-train LLMs with TRL (Transformers Reinforcement Learning) — SFT, DPO, GRPO, KTO, and reward-model training. Use when writing or debugging training code with the TRL Python API or the trl CLI.
Source information
- Repository
- huggingface/skills
- Revision
25910b3- Source check
- November 11, 2026
- License
- Apache-2.0
- Content
- 1 files
File verification hash
SKILL.md / SHA-256
42c855bdc6171390abc7413cdb19bd4fd8dddfb31094d519a874427de08ddc2aKnow the source and the review scope.
This record comes from the publisher's repository. The skill and supporting files have not undergone a security audit. Review the contents and required permissions before installing.
Read the selection policyAdd to project
In your project folder's terminal
npx skills add 'https://github.com/huggingface/skills/tree/25910b3d0ba31a2ba102f901cdc9e008c278a69c/skills/trl-training' -a claude-codeRequires Node.js 22.20 or later. The command targets the catalog's pinned revision.
- 1Run the command in your project folder.
- 2Confirm the skill and target in the CLI.
- 3Restart your agent and invoke the skill by name.
Other agents may require an external tool or adaptation.
The ZIP includes the entire repository and its supporting files.
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