Instructions to use RedHatAI/oBERT-12-downstream-pruned-block4-80-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-block4-80-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-downstream-pruned-block4-80-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22853946875edfabbc9b967865f2259c088c136566bb94c94e75f42632254ce7
- Size of remote file:
- 436 MB
- SHA256:
- 65f46dc848342ee7b43e3a2c7a1a7f870270010fe814faec9ffa72853d026b8c
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