Instructions to use Intel/tvp-base-ANet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/tvp-base-ANet with Transformers:
# Load model directly from transformers import AutoProcessor, TvpForVideoGrounding processor = AutoProcessor.from_pretrained("Intel/tvp-base-ANet") model = TvpForVideoGrounding.from_pretrained("Intel/tvp-base-ANet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26656b6160f89bd0e81cf44e39c96bcb7b996ba562ab425c085724dcd9c92567
- Size of remote file:
- 700 MB
- SHA256:
- 725220259205454c89fa34f9d6bfbf7fbbc3269f14cf1a6b0ff1e44b0d1f3fa6
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