Instructions to use grkon97/Intoxicated_Classification_Fine_Tuned_videomae-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grkon97/Intoxicated_Classification_Fine_Tuned_videomae-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="grkon97/Intoxicated_Classification_Fine_Tuned_videomae-base")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("grkon97/Intoxicated_Classification_Fine_Tuned_videomae-base") model = AutoModelForVideoClassification.from_pretrained("grkon97/Intoxicated_Classification_Fine_Tuned_videomae-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3543071944e044c254b903e6aa74877d2c9d4858073dfab5e998a8853d69e091
- Size of remote file:
- 345 MB
- SHA256:
- 8b2bb940c07bb8092012aa0098cd95fdd2669b54d5228561a4fe92631e1a4b54
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