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 training_args.bin from Tommidi/st_vit_trained-8epoch-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Tommidi/st_vit_trained-8epoch-ucf101-subset/resolve/main/training_args.bin
- Command line
-
hf download hf://Tommidi/st_vit_trained-8epoch-ucf101-subset/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tommidi/st_vit_trained-8epoch-ucf101-subset/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 327114fef64a537a8f1547e3e665c7fc9363f7cb2c2091c1e886078265a7dde6
- Size of remote file:
- 4.73 kB
- SHA256:
- 67ff17edb2bf1019356c37ff236485d6f8dfce3ff8f454308ba26549c5551ea2
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