Instructions to use Mvp-24/assist_vc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mvp-24/assist_vc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("video-classification", model="Mvp-24/assist_vc")# Load model directly from transformers import AutoImageProcessor, AutoModelForVideoClassification processor = AutoImageProcessor.from_pretrained("Mvp-24/assist_vc") model = AutoModelForVideoClassification.from_pretrained("Mvp-24/assist_vc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 34fd2a4759fc3faa61f5b47f9238c453f74470ac24739da08c66790dd8b335cd
- Size of remote file:
- 3.52 kB
- SHA256:
- 5a64704a138c627e4fae8452a0e0338e87d955006ba6c44c858342006ba643b2
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