Instructions to use RedHatAI/oBERT-12-upstream-pretrained-dense with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-12-upstream-pretrained-dense with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-upstream-pretrained-dense", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from RedHatAI/oBERT-12-upstream-pretrained-dense: direct link, hf CLI and curl.
- Browser
- Download file 438 MB
-
https://huggingface.co/RedHatAI/oBERT-12-upstream-pretrained-dense/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://RedHatAI/oBERT-12-upstream-pretrained-dense/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/RedHatAI/oBERT-12-upstream-pretrained-dense/resolve/main/pytorch_model.bin
438 MB
- Xet hash:
- b03725abda5088ef4cc7c7c2bc654e68a412957aeea1c50fe6118334abe71b62
- Size of remote file:
- 438 MB
- SHA256:
- c80317bc0ae45812bb7fdff787f97c93d3b14b91294eee3bd2848759859d6be0
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