MaartenGr / MaartenGr/BERTopic
Topic Modeling with LLMs
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 7.8k
- Forks
- 920
- Avg merge
- 22h 24m
- Merged PRs (30d)
- 5
Description
Hello,
I'm Ahmad who asked you in Linked. Thank you for Response.
I have colab pro plus. I try to print statistics about my dataset:
count 21006.000000
mean 490.140341
std 217.119297
min 1.000000
25% 340.000000
50% 471.000000
75% 610.000000
max 3163.000000
Name: article_body_length, dtype: float64
How to solve out of memory issues?
Thank you in advance.
Contributor guide
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
No files, tests, or entry points are named. Start by reproducing the reported out-of-memory behavior with the supplied dataset statistics in the stated Colab environment, then trace BERTopic's topic-modeling workflow to identify the failing stage; done means a documented, reproducible resolution or a clearly scoped fix.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100