Instructions to use Shawon16/VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_fixed_split_analysis_BDSLW60_3_CLASS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aedc4616f62f1cdc364890010a86d65625b6ef4f7b43382dd5ced9acd5cca2a5
- Size of remote file:
- 26.5 MB
- SHA256:
- 24bb062f6a3b22f686f874d9aa5e63c1f43db572a21d1c997cfeff92b9bc78ba
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