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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3cd7b3d976ab56b2d78b809fa0e5a2f15dfa421f044d351f906e80e61de2a3cd
- Size of remote file:
- 13 MB
- SHA256:
- fc4399ecad159d95fcb4e265e1e9527ad5a6a125a159673fc660bff400905c41
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