Instructions to use RedHatAI/oBERT-12-downstream-pruned-unstructured-80-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-12-downstream-pruned-unstructured-80-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-downstream-pruned-unstructured-80-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31ae88e68fe554928c0020ee411f59c32224a750ee1a2355feea7d670609273b
- Size of remote file:
- 2.42 kB
- SHA256:
- 9e182a9a298c4c0863b3c4e03437580f056d30844dff7b92409ca8ca9a7bb85f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.