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:
- e1a44fd82fdf76602729923bbc63f45e59ba6828d754d0d6e0207ef550e3a320
- Size of remote file:
- 2.61 kB
- SHA256:
- e9060dfa04eda2a7a15d007254a2cfb3c63227612325f810c2adc7cefac057ec
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