Instructions to use fun-research/Video-LLaVA-Seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fun-research/Video-LLaVA-Seg with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("fun-research/Video-LLaVA-Seg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Add pipeline tag, library name, and link to paper
Verified signatureThis PR improves the model card by adding the `pipeline_tag` and `library_name` metadata, making the model more discoverable on the Hub. It also explicitly links the model to the associated research paper.dcefa65
-
Update README.md
Verified signature0e6ee0f -
Update README.md
Verified signature3ca30ab -
Update README.md
Verified signature559c8bc -
Update README.md
Verified signatureb227e49 -
Update README.md
Verified signature737611f
-
first commit
ali.athar2d2f1d3 -
initial commit
Verified signature10f9b33