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:
- 86bcc8b7ff0b06e62c9cb43ed31d6f023322a1ad3aee01b781d151b31b64bf46
- Size of remote file:
- 346 MB
- SHA256:
- 065cfde56f97671da4d196e1a3a6d3cf9304dcad92eb671e3632a6c6cdd04f73
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