Instructions to use DanJoshua/student_s3d_default_not_learning_RWF2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanJoshua/student_s3d_default_not_learning_RWF2000 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import S3DForVideoClassification model = S3DForVideoClassification.from_pretrained("DanJoshua/student_s3d_default_not_learning_RWF2000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download config.json from DanJoshua/student_s3d_default_not_learning_RWF2000: direct link, hf CLI and curl.
- Browser
- Download file 460 Bytes
-
https://huggingface.co/DanJoshua/student_s3d_default_not_learning_RWF2000/resolve/main/config.json
- Command line
-
hf download hf://DanJoshua/student_s3d_default_not_learning_RWF2000/config.json
-
curl -L -o config.json https://huggingface.co/DanJoshua/student_s3d_default_not_learning_RWF2000/resolve/main/config.json
460 Bytes
| { | |
| "architectures": [ | |
| "S3DForVideoClassification" | |
| ], | |
| "distillation_type": "kl", | |
| "id2label": { | |
| "0": "NonViolence", | |
| "1": "Violence" | |
| }, | |
| "is_pretrained": true, | |
| "is_teacher_model": false, | |
| "label2id": { | |
| "NonViolence": 0, | |
| "Violence": 1 | |
| }, | |
| "model_type": "s3d", | |
| "model_version": "s3d_default", | |
| "num_classes": 2, | |
| "num_frames": 16, | |
| "reinitialize_head": true, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.45.2" | |
| } | |