Instructions to use 2nzi/videomae-surf-analytics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2nzi/videomae-surf-analytics with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="2nzi/videomae-surf-analytics")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("2nzi/videomae-surf-analytics") model = AutoModelForVideoClassification.from_pretrained("2nzi/videomae-surf-analytics") - Notebooks
- Google Colab
- Kaggle
upload all data without train test val split folder.
Browse files- all-data.zip +3 -0
all-data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:021bee406cf3d1b980c04e37fccce720015207176779c2311ed5dba096808df7
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size 3956404623
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