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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zahrav/videomae-base-finetuned-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 3.5 kB
-
https://huggingface.co/zahrav/videomae-base-finetuned-ucf101-subset/resolve/db585f27f7b50d91080cf112a0fbb77080e6370c/training_args.bin
- Command line
-
hf download hf://zahrav/videomae-base-finetuned-ucf101-subset@db585f27f7b50d91080cf112a0fbb77080e6370c/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zahrav/videomae-base-finetuned-ucf101-subset/resolve/db585f27f7b50d91080cf112a0fbb77080e6370c/training_args.bin
3.5 kB
- Xet hash:
- 1074dd9665ab1eec2caf6b7196c1dd6b4ed58d7ca27b9286d5e47dad7bd28cb5
- Size of remote file:
- 3.5 kB
- SHA256:
- c1ef52bf5fdbc51e0f74f7dd0474a1bc2a1b98cf2e36b2ad0f54525e8a87f114
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