Instructions to use ManuD/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManuD/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="ManuD/videomae-base-finetuned-ucf101-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("ManuD/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("ManuD/videomae-base-finetuned-ucf101-subset") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 842054ac046a5bff0425e458943d894a2f1a1bcbc9d363d7a8ab12010501d68e
- Size of remote file:
- 345 MB
- SHA256:
- 5c52fd8308b0e93a5c9f0543449403352b30bf9784a527fc21bdb99a8d36d2b1
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