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:
- a4997ee2c3b31d5ac08e1475fa5e884404d0cf48030a58505d91b36b5114855b
- Size of remote file:
- 5.3 kB
- SHA256:
- 29c29c6d93d289d29136d4185cac0ba234730d7edb0373efac2c652dd1a5362a
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