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:
- 25184312f2f94c679d1661c3eb34a619bf0dff52df7b71e8269b49e6507552ad
- Size of remote file:
- 602 kB
- SHA256:
- bde61255dd4f68a91179ad47cda8d66457a267e7bd10af36dea923efc6da145b
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