hugging-face-model-trainer | Skill Performance & Reviews | TopRankSkills

TopRank Skills

Home / Skills / tools / hugging-face-model-trainer

hugging-face-model-trainer

maintained by huggingface

star 1.2k account_tree 119 verified_user MIT License
bolt View GitHub

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

Key Features

  • Comprehensive skill evaluation and performance tracking
  • Community-driven ratings and reviews
  • Easy integration with Claude Code
  • Regular updates and maintenance

Quick Start

TopRank Skills install huggingface/hugging-face-model-trainer

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!

Skill Details

GitHub Stars 1.2k
GitHub Forks 119
Created Jan 2026
Last Updated 5 months ago
tools tools machine learning

Related Skills

Build your own?

Join 12,000+ developers contributing to the Claude ecosystem.