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:
- 1bfd6e6bfa4ed325972fb3cfd93999b163311216bc4d34cc52e3bb073f4b797b
- Size of remote file:
- 5.37 kB
- SHA256:
- 8b482c61d51aa6d3736ddccb1e625b870e1d8c73a6ed845872717b0c2e83f63a
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