Provide a method for training models where the text is not already known by NLLB.
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research
- Dominant language
- Python
- Stars
- 39
- Forks
- 7
- Avg merge
- 1d 9h
- Merged PRs (30d)
- 5
Description
Provide a method for training models where the text is not already known by NLLB.
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue names no files, tests, or entry points. Start by locating the Python NLLB model-training pipeline and determine what “text not already known by NLLB” means; done requires a specified, implemented, and tested training method.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100