Instructions to use RedHatAI/oBERT-3-downstream-pruned-block4-80-QAT-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RedHatAI/oBERT-3-downstream-pruned-block4-80-QAT-squadv1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("RedHatAI/oBERT-3-downstream-pruned-block4-80-QAT-squadv1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a404478d6222bcb95e748b6a816ac26236cfc937ec7f8ab2a7f82b98f0e77e37
- Size of remote file:
- 7.35 kB
- SHA256:
- bd4811e2b3bcb547d33e30a006ea91f7c40fef46be8a5f64b63e82deef302970
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