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:
- 646a28d60bbbaa7015f6ea2215707026d64f27ae37b654c780f4bbdf375d9513
- Size of remote file:
- 3.45 kB
- SHA256:
- 454efcc135d1b55fd80148297048683bac7bc229555dbe35c7973151a38721d7
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