Instructions to use RedHatAI/oBERT-12-downstream-pruned-block4-90-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-block4-90-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-12-downstream-pruned-block4-90-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3838895189cd32f680aace7bcd6a8b188ff2746f3b2af4fa9532d02e0ab84c70
- Size of remote file:
- 436 MB
- SHA256:
- b8765e837d9f2aa684e8e2a2076ff13389e593a7237f2b896b16a26440404d28
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