Instructions to use Shawon16/VideoMAE_wlasl__codeCheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_wlasl__codeCheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_wlasl__codeCheck")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_wlasl__codeCheck") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_wlasl__codeCheck", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signaturef8e9546 -
Model save
Verified signature5cd8100 -
Training in progress, epoch 1
Verified signature869f6cc -
Training in progress, epoch 0
Verified signature835f850 -
End of training
Verified signature8f49af0 -
Model save
Verified signatureacb7159 -
Training in progress, epoch 1
Verified signature92ef510 -
Model save
Verified signaturecfc3222 -
Training in progress, epoch 1
Verified signaturec6d7e15 -
initial commit
Verified signaturee82234e