Library
Transformers agent skills for Claude Code, Codex and other agents.
- skills
- 24
- official
- 6
- Type
- Library
- Website
- huggingface.co
- Official GitHub
- huggingface
Transformers skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (6 skills)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends. | huggingface/ | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 2 | Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub. | huggingface/ | 11k | 1 repo | ~7.5k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 3 | Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community… | huggingface/ | 11k | 1 repo | ~4.4k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 4 | Runs pre-trained Hugging Face models in JavaScript or TypeScript with Transformers.js, in browsers or Node.js, Bun and Deno, for text, vision, audio and multimodal tasks. | huggingface/ | 11k | 1 repo | ~6.2k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 5 | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names… | NVIDIA/ | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Integrate TileGym kernels into Hugging Face transformers models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load… | NVIDIA/ | 3.5k | — | ~741 | Automated safety check: Pass | Apache-2.0 | today |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 7 | Generates music from text descriptions with MusicGen and sound effects with AudioGen, using Meta's AudioCraft PyTorch library with melody and style conditioning. | Orchestra-Research/ | 13k | 9 repos | ~3.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 8 | Adds Liger Kernel support for a new HuggingFace Transformers model, or modifies existing monkey-patching. | linkedin/ | 6.6k | — | ~1.3k | Automated safety check: Pass | BSD-2-Clause | today |
| 9 | Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. | Orchestra-Research/ | 13k | 7 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | HuggingFace Transformers integration for PerforatedAI. An agent skill from PerforatedAI/PerforatedAI. | PerforatedAI/ | 237 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 11 | Half-Quadratic Quantization for LLMs without calibration data. | Orchestra-Research/ | 13k | 3 repos | ~2.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 12 | Loads large language models in 8-bit or 4-bit with bitsandbytes so they fit smaller GPUs, and sets up QLoRA fine-tuning on a 4-bit base model. | Orchestra-Research/ | 13k | 3 repos | ~2.5k | Automated safety check: Pass | MIT | 3 mo ago |
| 13 | Run, resume, monitor, diagnose, and report Quark Quant-Perf workflows for PyTorch and HuggingFace transformers models. | amd/ | 181 | — | ~3k | Automated safety check: Pass | MIT | 9 days ago |
| 14 | Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets. | davila7/ | 32k | 12 repos | ~1.2k | Automated safety check: Pass | MIT | today |
| 15 | Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards. | Orchestra-Research/ | 13k | 1 repo | ~2.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 16 | 16.Transformers Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal tasks. | K-Dense-AI/ | 48k | 1 repo | ~2.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 17 | Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno. | waybarrios/ | 533 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 18 | 18.Transformers Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. | ynulihao/ | 617 | — | ~2.9k | Automated safety check: Pass | No licence | 7 mo ago |
| 19 | Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. | sickn33/ | 47k | 1 repo | ~444 | Automated safety check: Pass | Apache-2.0 | today |
| 20 | L3 recipe that runs a Torch LLM PTQ end-to-end for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize → validate → evaluate. | amd/ | 181 | — | ~2.6k | Automated safety check: Pass | MIT | 9 days ago |
| 21 | HuggingFace Transformers with biomedical LMs (BioBERT, PubMedBERT, BioGPT, BioMedLM) for scientific NLP: NER (genes, diseases, chemicals), relation extraction, QA, text classification, abstract… | jaechang-hits/ | 370 | 1 repo | ~4.9k | Automated safety check: Pass | Apache-2.0 | 8 days ago |
| 22 | 22.NLP Engineer Expert in Natural Language Processing, designing systems for text classification, NER, translation, and LLM integration using Hugging Face, spaCy, and LangChain. | majiayu000/ | 666 | 1 repo | ~833 | Automated safety check: Pass | MIT | today |
| 23 | Ankh 蛋白质语言模型昇腾 NPU 迁移 Skill,适用于 Ankh base/large、Ankh3 large/XL 以及同类基于 HuggingFace Transformers 与 PyTorch 的蛋白模型从 CUDA/GPU 到华为 Ascend NPU 的环境检查、代码适配、权重加载、验证脚本补齐与文档沉淀。 | ascend-ai-coding/ | 174 | — | ~2.1k | Automated safety check: Pass | No licence | today |
| 24 | GENERator DNA 序列生成模型的昇腾 NPU 迁移 Skill,适用于将基于 HuggingFace Transformers 的 Causal LM 从 CUDA 迁移到华为 Ascend NPU,覆盖环境搭建、依赖安装、代码适配、多进程处理和 sequence recovery 验证。 | ascend-ai-coding/ | 174 | — | ~827 | Automated safety check: Pass | No licence | today |
Questions, answered from the data.
What is the best Transformers skill?
Hugging Face Local Model Evals (official) from huggingface/skills ranks first of the 24 Transformers skills listed here, with the highest score: its repository has 11k GitHub stars, 2 other GitHub owners carry a copy, its SKILL.md loads about 1.6k tokens and it passes the automated safety check with no findings. Next come Hugging Face Vision Trainer and Huggingface Spaces.
Is there an official Transformers skill?
6 of the 24 Transformers skills are official, published by the vendor's own GitHub organization: Hugging Face Local Model Evals, Hugging Face Vision Trainer, Huggingface Spaces, Transformers.js, Nvflare Convert Huggingface and 1 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.