ml-intern

Use when the user asks to fine-tune, train, evaluate, audit, or ship a machine-learning model on the Hugging Face ecosystem — SFT, DPO, GRPO, RLHF, LoRA/QLoRA, post-training, dataset auditing, paper-driven research, hf jobs submission, Trackio monitoring, push-to-Hub. Triggers include "fine-tune", "train a model", "SFT", "DPO", "GRPO", "RLHF", "post-training", "audit this dataset", "literature review for X task", "submit hf job", "find a dataset for X", "best recipe for X", "hyperparameter sweep", "OOM during training", "push to Hub". Replicates the workflow of huggingface/ml-intern inside Claude Code with zero new dependencies.