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:
- f87084b084a3dbf2c4094f6189e33555187881c26ace5516204ebf91a0ae854b
- Size of remote file:
- 677 Bytes
- SHA256:
- 9a0d99f0c0090a73250003ac47553fe87cba7b2d4feffcfea00297af1aeebb5a
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