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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mhamilton723/DenseAV-language", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from mhamilton723/DenseAV-language: direct link, hf CLI and curl.
- Browser
- Download file 365 Bytes
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https://huggingface.co/mhamilton723/DenseAV-language/resolve/main/README.md
- Command line
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hf download hf://mhamilton723/DenseAV-language/README.md
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curl -L -o README.md https://huggingface.co/mhamilton723/DenseAV-language/resolve/main/README.md
365 Bytes
metadata
license: mit
tags:
- denseav
- pytorch_model_hub_mixin
- model_hub_mixin
This model has been pushed to the Hub using the PytorchModelHubMixin integration: