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:
- 08fedb90041a1f43241609998ff2ea041a1e1962f4c5e368014afb155c52f4f8
- Size of remote file:
- 438 Bytes
- SHA256:
- 719833ff26ac897a3ec8ed946028a135de2a351470af59b4008744ab1f0ee9b7
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