Instructions to use ihsanabdulhakim/videomae-base-finetuned-ucf101-subset with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihsanabdulhakim/videomae-base-finetuned-ucf101-subset with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="ihsanabdulhakim/videomae-base-finetuned-ucf101-subset")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("ihsanabdulhakim/videomae-base-finetuned-ucf101-subset") model = AutoModelForVideoClassification.from_pretrained("ihsanabdulhakim/videomae-base-finetuned-ucf101-subset", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ihsanabdulhakim/videomae-base-finetuned-ucf101-subset: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ihsanabdulhakim/videomae-base-finetuned-ucf101-subset/resolve/main/training_args.bin
- Command line
-
hf download hf://ihsanabdulhakim/videomae-base-finetuned-ucf101-subset/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ihsanabdulhakim/videomae-base-finetuned-ucf101-subset/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 4a1df51b3886a26a6443b21ebd94dee361c5780439522848437824579ac032dc
- Size of remote file:
- 4.92 kB
- SHA256:
- 44bba9e17f83c487fa81c22d427b3dac0cdc6e55bb2b191074ca5eb6a7e35575
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