huggingface/autotrain-advanced
A no-code platform from Hugging Face for training and deploying state-of-the-art machine learning models with support for LLM fine-tuning methods.
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AutoTrain Advanced provides a no-code interface for training machine learning models in just a few clicks. It supports various training tasks including LLM supervised fine-tuning (SFT), ORPO, and DPO (Direct Preference Optimization). Users can configure training through YAML files or notebooks and deploy models via Hugging Face Spaces or locally. The project is part of the Hugging Face ecosystem and integrates with their model hub and training infrastructure.
Frequently asked
- What is huggingface/autotrain-advanced?
- A no-code platform from Hugging Face for training and deploying state-of-the-art machine learning models with support for LLM fine-tuning methods.
- Is autotrain-advanced open source?
- Yes — huggingface/autotrain-advanced is open source, released under the Apache-2.0 license.
- What language is autotrain-advanced written in?
- huggingface/autotrain-advanced is primarily written in Python.
- How popular is autotrain-advanced?
- huggingface/autotrain-advanced has 4.6k stars on GitHub.
- Where can I find autotrain-advanced?
- huggingface/autotrain-advanced is on GitHub at https://github.com/huggingface/autotrain-advanced.