Instructions to use grkon97/Intoxicated_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grkon97/Intoxicated_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="grkon97/Intoxicated_Classification")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("grkon97/Intoxicated_Classification") model = AutoModelForVideoClassification.from_pretrained("grkon97/Intoxicated_Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d444763ff939370f94367173ce6fa9a053b05411680688a525b11880f7a7fbf
- Size of remote file:
- 345 MB
- SHA256:
- 05c4d07eddfb1a6eda0b441c593a2099533b13430f595f29164a263fe8ebe795
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