Instructions to use MCG-NJU/videomae-large-finetuned-kinetics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/videomae-large-finetuned-kinetics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="MCG-NJU/videomae-large-finetuned-kinetics")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("MCG-NJU/videomae-large-finetuned-kinetics") model = AutoModelForVideoClassification.from_pretrained("MCG-NJU/videomae-large-finetuned-kinetics") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b847d2d4d026cd792e97f168ee2fdaae8215c7d1bf352be02ba310da256f4c7b
- Size of remote file:
- 1.22 GB
- SHA256:
- 024a4a64ab700a940638c5e267fca8e6feaa3437b7c226d7d720803e6427fc3f
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