How exactly to use GPU with KeyBERT?
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.2k
- Forks
- 385
- PR merge metrics
- No merged PRs in 30d
Description
I'm trying to extract keywords and keyphrases from around 20k abstracts of journal articles. The FAQ mentions that it is recommended to use GPU with KeyBERT. However, I'm unclear how exactly to run the extract_keywords function on GPU. I tried
`model = KeyBERT()`
`model.to(device)`
but it says KeyBERT() has no attribute 'to'. I'd appreciate some help in implementing KeyBERT on GPU. Thanks!
Contributor guide
No contributing guide indexed for this repository
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
Start with the FAQ's GPU recommendation and the KeyBERT usage around extract_keywords. Review how the model and device are configured, including the reported KeyBERT().to(device) attempt. Done when the GPU workflow for processing the stated abstracts is clearly documented and reproducible.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100