OpenGVLab / OpenGVLab/InternVideo
About how to finetune the InternVideo2-1B models on a customized dataset to get an InternVideo2-1B Clip model.
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.4k
- Forks
- 160
- PR merge metrics
- No merged PRs in 30d
Description
HI authors,
I appreciate your amazing work.
I am using InternVideo2-1B as my work backbone. And want to train a clip model with our customized dataset.
Could you provide the scripts about how to fintune a clip model from InternVideo2-1B checkpoint.
Or any instructions how to do that.
Thank you so much.
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
The issue names no file, test, or training entry point. Start by locating the InternVideo2-1B checkpoint and any existing fine-tuning instructions in the repository, then define the customized dataset requirements, training workflow, and expected CLIP-model output.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100