Instructions to use Tommidi/st_vit_pretrained-1epoch-ucf101 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tommidi/st_vit_pretrained-1epoch-ucf101 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import ST_Vit model = ST_Vit.from_pretrained("Tommidi/st_vit_pretrained-1epoch-ucf101", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 385 Bytes
e979710 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_name_or_path": "Tommidi/st_vit_untrained-101",
"architectures": [
"ST_Vit"
],
"model_type": "st_vit",
"out_channels": 101,
"spatial_vit": {
"model_type": "vit"
},
"temporal_vit": {
"model_type": "vit"
},
"temporal_vit_mae": {
"model_type": "vit_mae",
"out_channels": 101
},
"torch_dtype": "float32",
"transformers_version": "4.40.2"
}
|