Fine-tune Trellis on my own dataset
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- Dominant language
- Python
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Description
I want to use my own data to fine-tune the model. How much data would I need?
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no file, test, or entry point and only asks how much data is needed for fine-tuning on a custom dataset. First identify the repository's relevant Python training or fine-tuning entry point, then document the supported dataset requirements and data guidance so the question has a clear answer.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning, python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100