OpenGVLab / OpenGVLab/VideoChat-Flash
论文中提到的token dropout怎么在modeling文件中没看到相关逻辑
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- Dominant language
- Python
- Stars
- 530
- Forks
- 20
- PR merge metrics
- No merged PRs in 30d
Description
论文中的Multimodal Token Dropout技术相关代码在哪呢，hugging face上的modeling文件没看到相关逻辑
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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
Start by comparing the paper's description of Multimodal Token Dropout with the Hugging Face modeling file mentioned in the issue. Trace the model entry points to determine whether the logic is implemented elsewhere or absent, then document the relevant location or discrepancy.
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