Instructions to use Shawon16/VideoMAE_Kinetics_fold__5__BdSLW60_SKF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/VideoMAE_Kinetics_fold__5__BdSLW60_SKF with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/VideoMAE_Kinetics_fold__5__BdSLW60_SKF")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/VideoMAE_Kinetics_fold__5__BdSLW60_SKF") model = AutoModelForVideoClassification.from_pretrained("Shawon16/VideoMAE_Kinetics_fold__5__BdSLW60_SKF") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e49746819277255a09faa4472f24f6259679480d9df319e58d1ccce33bae0e6a
- Size of remote file:
- 5.37 kB
- SHA256:
- 7b611786ed2814c23e78e9f67d385c787e9040c858cd5e7bf93f91097b7d7436
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