Instructions to use allenai/uio2-large-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use allenai/uio2-large-bfloat16 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("allenai/uio2-large-bfloat16", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from allenai/uio2-large-bfloat16: direct link, hf CLI and curl.
- Browser
- Download file 2.71 GB
-
https://huggingface.co/allenai/uio2-large-bfloat16/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://allenai/uio2-large-bfloat16/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/allenai/uio2-large-bfloat16/resolve/main/pytorch_model.bin
2.71 GB
- Xet hash:
- 70f4f873b8474758c5bee94a658f87fe360c71f9a55f556f094827ea6e7b4ff4
- Size of remote file:
- 2.71 GB
- SHA256:
- c0ddd7d198c5c88afb5eba045eb973fea8931c7909cba3c2bdd47d644f4a004c
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