OpenGVLab / OpenGVLab/InternVideo
How can I finetune InternVideo2_Chat_8B_InternLM2_5
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- Dominant language
- Python
- Stars
- 2.4k
- Forks
- 160
- PR merge metrics
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Description
I would like to fine-tune InternVideo2_Chat_8B_InternLM2_5 on a specific task. How should I do this? Thanks!
Contributor guide
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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
The issue names InternVideo2_Chat_8B_InternLM2_5 but no files, entry points, dataset, or target task. Start by locating the model's training and fine-tuning entry points in the repository, then clarify the intended task and define a supported procedure that can be documented and verified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100