Instructions to use Intel/tvp-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/tvp-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, TvpForVideoGrounding processor = AutoProcessor.from_pretrained("Intel/tvp-base") model = TvpForVideoGrounding.from_pretrained("Intel/tvp-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Intel/tvp-base: direct link, hf CLI and curl.
- Browser
- Download file 674 MB
-
https://huggingface.co/Intel/tvp-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Intel/tvp-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Intel/tvp-base/resolve/main/pytorch_model.bin
674 MB
- Xet hash:
- fb2836446a0528685d02ff2a461b115be3e388bd86c0a98164bb03a83b54f8a4
- Size of remote file:
- 674 MB
- SHA256:
- c6dbb56825c4174e5ec2e0883f9234205afc62f25d3c6f32313e04f3e6efff2d
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