Instructions to use MCG-NJU/videomae-base-finetuned-kinetics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MCG-NJU/videomae-base-finetuned-kinetics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="MCG-NJU/videomae-base-finetuned-kinetics")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("MCG-NJU/videomae-base-finetuned-kinetics") model = AutoModelForVideoClassification.from_pretrained("MCG-NJU/videomae-base-finetuned-kinetics") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d65c75ce7c1d6002e35c427915131055621556c55e1bb6a4fbc51594aed02c2
- Size of remote file:
- 346 MB
- SHA256:
- f8462908e843373183868b89c56699f675839f1bebf43694a6c987c6df9d3ce4
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