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RedHatAI
/
oBERT-6-downstream-dense-QAT-squadv1

Transformers
PyTorch
English
bert
oBERT
sparsity
pruning
compression
Model card Files Files and versions
xet
Community

Instructions to use RedHatAI/oBERT-6-downstream-dense-QAT-squadv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RedHatAI/oBERT-6-downstream-dense-QAT-squadv1 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("RedHatAI/oBERT-6-downstream-dense-QAT-squadv1", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
oBERT-6-downstream-dense-QAT-squadv1
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  • 2 contributors
History: 6 commits
ekurtic's picture
ekurtic
Update name
5a50570 almost 4 years ago
  • .gitattributes
    1.22 kB
    Model release about 4 years ago
  • README.md
    1.5 kB
    Add link to code almost 4 years ago
  • all_results.json
    253 Bytes
    xet
    Model release about 4 years ago
  • config.json
    649 Bytes
    xet
    Update name almost 4 years ago
  • eval_nbest_predictions.json
    49.1 MB
    xet
    Model release about 4 years ago
  • eval_predictions.json
    588 kB
    xet
    Model release about 4 years ago
  • eval_results.json
    115 Bytes
    xet
    Model release about 4 years ago
  • pytorch_model.bin
    126 MB
    xet
    Model release about 4 years ago