Instructions to use rish13/60videomae with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rish13/60videomae with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="rish13/60videomae")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("rish13/60videomae") model = AutoModelForVideoClassification.from_pretrained("rish13/60videomae") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e183d839eb4adb2b5522e66e86ce1635252564e6056171ad576fd1ce37f9c025
- Size of remote file:
- 345 MB
- SHA256:
- fbd5a8250fd329a82e7c89ab8875bf6972d8daf5d198ac9d2120c3f77facc870
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