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:
- bfeafbd07553e261b0cb6ca8b3cf6428c52f5fc18352976fdd888ca546650f50
- Size of remote file:
- 345 MB
- SHA256:
- 2c4e55b872eefc2decf2222f0f011780c384a95bc7e169cf9a3e3c1ceeb55a13
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