Instructions to use SNUMPR/vlm_sft_video_llava_13b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SNUMPR/vlm_sft_video_llava_13b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SNUMPR/vlm_sft_video_llava_13b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c862d5fb20f97994345ad0a196b06151e2a8aa330f382e0dba66cff9cc399518
- Size of remote file:
- 6.85 GB
- SHA256:
- 5636f653a3dafeb644b75a8d2b270d49be8931dc602dfd21e95926c391fd2811
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