Instructions to use rish13/videomae_4frames with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rish13/videomae_4frames with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="rish13/videomae_4frames")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("rish13/videomae_4frames") model = AutoModelForVideoClassification.from_pretrained("rish13/videomae_4frames") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a05380e60cb6df2457d48871f5389f52f6ad12bc8c1127302f336604bb0041c7
- Size of remote file:
- 345 MB
- SHA256:
- e0d9056de8bf84f3fcf48f44e66019dfdfa9a5c68073be9d0b9cef1e8d847805
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