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:
- 9d7417f9113f43b7683263ac22531b4cefa55c268d8a04699baeec60db81cb2e
- Size of remote file:
- 634 Bytes
- SHA256:
- 62b90cb0148830fba319d800b4b01a46e105dc640ff9a702c520a54c48b83c83
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.