Instructions to use koya1/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use koya1/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="koya1/videomae-base-finetuned-ucf101-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("koya1/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("koya1/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from koya1/videomae-base-finetuned-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/koya1/videomae-base-finetuned-ucf101-subset/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://koya1/videomae-base-finetuned-ucf101-subset@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/koya1/videomae-base-finetuned-ucf101-subset/resolve/refs%2Fpr%2F1/training_args.bin
3.64 kB
- Xet hash:
- 030651739a34e30f5e00082254ec46a1c4e2a1d0111ba1326fa9727bb1a272d4
- Size of remote file:
- 3.64 kB
- SHA256:
- b17923e6c616db0838f7aa7e5472f3899d4f9729bfba8d3df0f9dfe533eaabf9
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