OpenGVLab / OpenGVLab/InternVideo
Extracting Model Embeddings from Existing Code
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- Python
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Description
I would like to use InternVideo2.5 to extract video embeddings. Could you provide a reference script for extracting embeddings, specifically the hidden_states[-1] from the LLM's hidden_states?
Thank you!
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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 locating the existing InternVideo2.5 inference code and the LLM's hidden_states output. Add a reference path for extracting hidden_states[-1] as video embeddings, and verify that the example can be run with the existing model code.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100