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:
- 0d68a197cdc0289dea4129386eeb002e417f70160ae2313fbb192918d3bd65ab
- Size of remote file:
- 345 MB
- SHA256:
- 8ea398d5fd0871fd3564817b9afb5f8af3de65850e853070a9b0b9aee31248ad
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