Native Claude Code port of Hugging Face's ml-intern: autonomous ML engineering on the Hugging Face ecosystem, with research-first fine-tuning (SFT/DPO/GRPO/LoRA) on HF Jobs, dataset/repo/paper tooling, and an optional budget-bounded autonomous experiment loop.
Skill Claude CodeCodex
Autonomous, budget-bounded loop that runs MANY ML experiments toward a goal with no human in the loop — hypothesize, train on HF Jobs, evaluate, keep/ discard, repeat until the target metric or budget is hit. Requires a program.md task spec (goal, keep/discard criteria, and a budget envelope). Use for an unattended…
Skill Claude CodeCodex
Autonomously research, write, and ship ML code on the Hugging Face ecosystem: training, fine-tuning (SFT/DPO/GRPO/LoRA), data processing, inference, and evaluation. Use whenever the task involves training or fine-tuning a model, building or auditing an HF dataset, running jobs on HF Jobs / cloud GPUs, reading ML…