huggingface_transformers

Hugging Face Transformers best practices including model loading, tokenization, fine-tuning workflows, and inference optimization. Use when working with transformer models, fine-tuning LLMs, implementing NLP tasks, or optimizing transformer inference.

[bertbigdatacleaning

vuralserhat86

4211

trl-training

Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands.

rlhfsupervised-fine-tuningdpogrpo

huggingface

11,054744

hf-spaces-expert

This skill should be used when creating or configuring Hugging Face Spaces, including ZeroGPU hardware, secrets/env variables, persistent storage, repo-based deploys, and build/memory troubleshooting.

huggingfacespace-deploymenthardware-configurationsecrets-management

prof-ramos

0