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Description
Can you recommend a way to find the most appropriate, pretrained recent language model(s) that focuses on semantic similarity AND should work with KeyBERT? E.g. [these](https://huggingface.co/models?pipeline_tag=sentence-similarity&language=nl&sort=trending) seem to be appropriate models that should also work for Dutch. But how can we tell which ones would work? Also, we'd like to run KeyBERT with different models, in order to be able to see the differences - you don't happen to have any Jupyter notebooks that would show us how to do this? Thanks!
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with KeyBERT's model-selection usage and the linked Hugging Face sentence-similarity model list. Compare how Dutch support and semantic-similarity suitability can be identified, then document the criteria and provide a notebook showing KeyBERT run with multiple models. Done means the guidance and comparison workflow are clear and reproducible.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- huggingface, jupyter-notebook, python
- 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