huggingface/autotrain-advanced

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4608 stars · 628 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

AutoTrain Advanced is Hugging Face's no-code tool for training and deploying state-of-the-art machine learning models, covering LLM finetuning (SFT, DPO, ORPO), text/image classification, token classification, translation, summarization, and tabular tasks. It can run locally via CLI or on Hugging Face Spaces, paying only for compute used.

Use cases

• finetune an LLM with SFT, DPO, or ORPO without writing training code
• train a text classification model from a CSV upload
• train an image classifier without ML expertise
• run AutoML training on my own GPU infrastructure
• train a tabular data regression model in a few clicks
• prepare and deploy finetuned models to the Hugging Face Hub

When to choose

• you want no-code or low-config model training integrated with the Hugging Face ecosystem
• you need quick LLM finetuning experiments with YAML configs or notebooks
• you prefer paying only for compute on Spaces or your own hardware

When to avoid

• you need maintained software with bug fixes or new features - the project is officially unmaintained
• you want cutting-edge finetuning - use Axolotl, TRL, or transformers.Trainer instead
• you need full programmatic control over training loops and hyperparameters

Facets

application · maturity abandoned

machine-learning llm-training nlp cli gui machine-learning deep-learning large-language-models computer-vision data-science python cloud self-hosted no-code automl huggingface llm-finetuning sft dpo orpo deprecated natural-language-processing docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="huggingface/autotrain-advanced")