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:
- 07fb60d8690e8451cfd5203c4b298acb53f10f89f65ba61dab31619f6c90927e
- Size of remote file:
- 1.23 kB
- SHA256:
- 4e5a8f0787dfc9a89612d4f8b559840c6111edeeadba1be4f5fa5cc1bde53116
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.