Model usage overview / explanation?
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- Dominant language
- Python
- Stars
- 1k
- Forks
- 131
- PR merge metrics
- No merged PRs in 30d
Description
Since I couldn't find anything about it, could you maybe add a small overview to what each model is meant to do / optimized for?
atm. it's really unclear whether in general it is recommended to use always the latest model
or whether one should one stick with model XY in example for non-anime content,
or is there a recommended model for different content types?
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
Review the existing model references and examples in the repository to identify what each model is intended or optimized for. Document guidance for choosing models by content type and clarify whether the latest model is always recommended; the work is done when users can make those choices from the overview.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100