Instructions to use RedHatAI/oBERT-6-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-6-downstream-pruned-unstructured-80-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-6-downstream-pruned-unstructured-80-squadv1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb657fbb8e56b3361d29ec18cff3f19c6434d4cf719967d4a6a075c29bfd7846
- Size of remote file:
- 266 MB
- SHA256:
- 453b12463de54d0d4ef2f390c1d482aef53889ef09d7736ead2f4f396ed1f773
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.