Instructions to use Shawon16/ViViT_BdSLW60_FrameRate_Corrected_without_Augment_20_epch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shawon16/ViViT_BdSLW60_FrameRate_Corrected_without_Augment_20_epch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Shawon16/ViViT_BdSLW60_FrameRate_Corrected_without_Augment_20_epch")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Shawon16/ViViT_BdSLW60_FrameRate_Corrected_without_Augment_20_epch") model = AutoModelForVideoClassification.from_pretrained("Shawon16/ViViT_BdSLW60_FrameRate_Corrected_without_Augment_20_epch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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