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")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_wlasl__codeCheck") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_wlasl__codeCheck") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bff09490f923b3af43a6a5ec3c0a37ac9b1d8c0dd18292b25f92703570644b77
- Size of remote file:
- 351 MB
- SHA256:
- 5bd603f02080c8677a8d2c6b26c654b03af85e4f0ea178f8065647955e5b7033
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