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:
- 8b5401df6629ca2968c0a984e5aa17accd21d8467fe9d07f2671a6078330ee17
- Size of remote file:
- 1.22 GB
- SHA256:
- 92d33bedfe4f171705af418b5ddf059a2beb8ef4d1532621c2ae0a6693dbb8bc
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