tao-finetune-huggingface-model
tao-finetune-huggingface-model is an agent skill published by nvidia, listed under training models. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-09-25.
Fine-tunes any HuggingFace CV, VLM, or LLM model on local NVIDIA GPUs within an NGC PyTorch container. Requires credentials for accessing the HuggingFace model and potentially the HF Hub.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill. Do not use for any Hugging Face model ID claimed by a dedicated `skills/models/*` skill; the model skill and its declared execution environment take precedence.
tao-finetune-huggingface-model compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| tao-finetune-huggingface-model (this page) | nvidia | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no d… | 3,735 | 2026-10-26 |
| nemo-mbridge-mlm-bridge-training(same repository) | nvidia | Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, availa… | 3,735 | 2026-10-26 |
| nemotron-asr-finetune(same repository) | nvidia | Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal… | 3,735 | 2026-10-26 |
| nemotron-customize(same repository) | nvidia | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines:… | 3,735 | 2026-10-26 |
| nvflare-convert-huggingface(same repository) | nvidia | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated… | 3,735 | 2026-10-26 |
| paidf-anomalygen(same repository) | nvidia | Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG),… | 3,735 | 2026-10-26 |
| tao-finetune-cosmos-embed(same repository) | nvidia | Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about tao-finetune-huggingface-model
- What does tao-finetune-huggingface-model do?
- Fine-tunes any HuggingFace CV, VLM, or LLM model on local NVIDIA GPUs within an NGC PyTorch container. Requires credentials for accessing the HuggingFace model and potentially the HF Hub.
- How do I install tao-finetune-huggingface-model?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes tao-finetune-huggingface-model?
- nvidia.
- Is tao-finetune-huggingface-model maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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