Instructions to use raza9272/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use raza9272/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="raza9272/videomae-base-finetuned-ucf101-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("raza9272/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("raza9272/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from raza9272/videomae-base-finetuned-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/raza9272/videomae-base-finetuned-ucf101-subset/resolve/main/training_args.bin
- Command line
-
hf download hf://raza9272/videomae-base-finetuned-ucf101-subset/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/raza9272/videomae-base-finetuned-ucf101-subset/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 80ffc4e47ac8daf4ada40814a7097bbd72d49bc9d7ec8cff6de4ff42ee49a1dd
- Size of remote file:
- 5.84 kB
- SHA256:
- b07b86560f5c9453360c9cb6162cf780e1ae87f7c65e5a84fd04f87dc374a57f
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