Instructions to use 2nzi/videomae-surf-analytics-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2nzi/videomae-surf-analytics-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="2nzi/videomae-surf-analytics-v2")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("2nzi/videomae-surf-analytics-v2") model = AutoModelForVideoClassification.from_pretrained("2nzi/videomae-surf-analytics-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ac6db8223453ed8d7ece3cd724a4780423f2e70defa12c4f698cd8985b403c8
- Size of remote file:
- 5.11 kB
- SHA256:
- 1c838aca1afd8e10d90714ad9771ac4c9d9be26af3516a01c28e175bfead7ec0
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