Instructions to use zahrav/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zahrav/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="zahrav/videomae-base-finetuned-ucf101-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("zahrav/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("zahrav/videomae-base-finetuned-ucf101-subset") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5799754012e94cf00c82460561785a9d3e08649e766fd785fe54a069e778c95d
- Size of remote file:
- 345 MB
- SHA256:
- ecc07b12839f6a38fba8aff626e41d9d8959c7f5b78d1f103a474a5ab01226b0
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