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:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("fun-research/Video-LLaVA-Seg", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a18b927dd3aa39b6883d930f7d571157ab091a924415cbf7aef032e6bb012328
- Size of remote file:
- 6.71 kB
- SHA256:
- c313b072fc95733fdded2db2547421f211b2ae321d5878a90d1ac26df90e5c54
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