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:
- aa25fc8b815309935b34dcfa97b9e20960b5ca206020c71986417eb85c366d8f
- Size of remote file:
- 749 Bytes
- SHA256:
- cf01145c6de57f061991ff871e85d0402c38481f968daea8874c431cd0c7740f
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