Instructions to use mhamilton723/DenseAV-language with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhamilton723/DenseAV-language with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mhamilton723/DenseAV-language", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Link model to paper (#1)
Browse files- Link model to paper (656afd611d835862c0c07ec2bcf02236ef5abe78)
Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>
README.md
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Library: https://github.com/mhamilton723/DenseAV
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This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration:
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- Library: https://github.com/mhamilton723/DenseAV
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- Paper: https://arxiv.org/abs/2406.05629
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