Instructions to use Tommidi/st_vit_trained-8epoch-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommidi/st_vit_trained-8epoch-ucf101-subset with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import ST_Vit model = ST_Vit.from_pretrained("Tommidi/st_vit_trained-8epoch-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Tommidi/st_vit_trained-8epoch-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 689 MB
-
https://huggingface.co/Tommidi/st_vit_trained-8epoch-ucf101-subset/resolve/main/model.safetensors
- Command line
-
hf download hf://Tommidi/st_vit_trained-8epoch-ucf101-subset/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Tommidi/st_vit_trained-8epoch-ucf101-subset/resolve/main/model.safetensors
689 MB
- Xet hash:
- 0b0f5429f93962cdaf338e3f99efcee3a9c7eff3484af9d7825951e76d2d8226
- Size of remote file:
- 689 MB
- SHA256:
- 6cf1bfb86e3cb7c43c10e0a8b7c35a56ee5f73af1fb58008d00acc3404f5b127
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