Instructions to use Shawon16/VideoMAE_Base_3_class_codeCheck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_Base_3_class_codeCheck with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_Base_3_class_codeCheck")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_Base_3_class_codeCheck") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_Base_3_class_codeCheck") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01a3407c3f77f585b6b8e8a1274d7d1d5e75028eb9bcc259b5d8f18f2a3bfc89
- Size of remote file:
- 345 MB
- SHA256:
- 4737c9fa3f339fcb865ee118a3c5621667f1190257870d000b9235d2e1d91625
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