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:
- f3a115c68fe93af953c3ebc64c5b0e6ef2dac5f32d713d0484904f56d9f30fef
- Size of remote file:
- 114 Bytes
- SHA256:
- 6bec1c6f3f9243e189943c692595d39b9f5d2b4415cffe6caa3f41820e45a47c
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