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:
- fcd0dd74b8145998fda81d841455b701a1065577b39a4feedbe7c36cf0dcf048
- Size of remote file:
- 660 Bytes
- SHA256:
- 72c38eb3ce20184b72fc1ba7a842116489ded88e39c525ddb6c922cc9a80ecee
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