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 training_args.bin from DanJoshua/student_s3d_default_not_learning_RWF2000: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/DanJoshua/student_s3d_default_not_learning_RWF2000/resolve/main/training_args.bin
- Command line
-
hf download hf://DanJoshua/student_s3d_default_not_learning_RWF2000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DanJoshua/student_s3d_default_not_learning_RWF2000/resolve/main/training_args.bin
4.86 kB
- Xet hash:
- 177ded3a538ec23c67fa6c4a77f7cfd144ce5d6fa9cd2ee8030746f59f6c7f5f
- Size of remote file:
- 4.86 kB
- SHA256:
- ed3efb6445051692425d263eab1a5578b78a91aabbc0e8d6a20b13e763a76f1c
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