Instructions to use 2nzi/videomae-surf-analytics-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2nzi/videomae-surf-analytics-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="2nzi/videomae-surf-analytics-v4")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("2nzi/videomae-surf-analytics-v4") model = AutoModelForVideoClassification.from_pretrained("2nzi/videomae-surf-analytics-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 43172d7a8359665e39f42900cf060675b8db4b2baf06934b9d4004e800661e07
- Size of remote file:
- 5.11 kB
- SHA256:
- 1b9034053011c3795ad6b4bbb8cbd9e1899b274a5c1f770d46ace37382ddfe79
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