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:
- f6e35334c5cf8f1b8a5795913858638ae32f96074b5601d1111d1598456978cc
- Size of remote file:
- 45.9 MB
- SHA256:
- 49cfa0a16013ceb9cb8c3e9592bf53ad7855f0f09df6712983088855f49935ee
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