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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-upstream-pretrained-dense", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b03725abda5088ef4cc7c7c2bc654e68a412957aeea1c50fe6118334abe71b62
- Size of remote file:
- 438 MB
- SHA256:
- c80317bc0ae45812bb7fdff787f97c93d3b14b91294eee3bd2848759859d6be0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.