Plugin Claude Code
Bundles 2 skills · 256 tokens together
Train and fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling, plus GGUF conversion for local deployment.
Plugin Claude Code
Bundles 2 skills · 256 tokens together
Train and fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling, plus GGUF conversion for local deployment.
Plugin Claude Code
Bundles 1 skill · 128 tokens together
Train and fine-tune language models using TRL on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling, plus GGUF conversion for local deployment.
Plugin Claude Code
Bundles 2 skills · 84 tokens together
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
Plugin Claude Code
Bundles 1 skill · 42 tokens together
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.
Plugin Claude Code
Bundles 2 skills · 88 tokens together
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates.
Plugin Claude Code
Bundles 1 skill · 44 tokens together
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, and streaming row updates.
Plugin Claude Code
Bundles 2 skills · 112 tokens together
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval/inspect-ai.
Plugin Claude Code
Bundles 1 skill · 56 tokens together
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval/inspect-ai.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: