Instructions to use sillon/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sillon/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="sillon/videomae-base-finetuned-ucf101-subset")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("sillon/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("sillon/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3eb3e095cdc5bfd892c9ffacb06706584b3908857c226589488d5e4f2d2a7e0
- Size of remote file:
- 4.73 kB
- SHA256:
- a6862a6d9aab9a76f856f5c413d7a787a4ada6a182fd074d548e969b020c0077
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