Instructions to use DanJoshua/estudiante_Swin3D_VIOPERU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanJoshua/estudiante_Swin3D_VIOPERU with Transformers:
# Load model directly from transformers import Swin3DForVideoClassification model = Swin3DForVideoClassification.from_pretrained("DanJoshua/estudiante_Swin3D_VIOPERU", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "Swin3DForVideoClassification" | |
| ], | |
| "distillation_type": "kl", | |
| "id2label": { | |
| "0": "NonViolence", | |
| "1": "Violence" | |
| }, | |
| "is_pretrained": true, | |
| "label2id": { | |
| "NonViolence": 0, | |
| "Violence": 1 | |
| }, | |
| "model": "Swin3D", | |
| "num_classes": 2, | |
| "num_frames": 16, | |
| "reinitialize_head": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.46.1" | |
| } | |