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:
- 2cad8cb64ac4eba72bafcef7f5b745b1767ab478d0e504992828619a4d673fbb
- Size of remote file:
- 26.5 MB
- SHA256:
- 8fe649e74f2c22fe43d550ceb4431a68b77ff173c8b9835725df6c3ad760d02b
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