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qf-iquest
/
OmniReason-Deploy

Feature Extraction
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community

Instructions to use qf-iquest/OmniReason-Deploy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use qf-iquest/OmniReason-Deploy with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="qf-iquest/OmniReason-Deploy")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("qf-iquest/OmniReason-Deploy")
    model = AutoModel.from_pretrained("qf-iquest/OmniReason-Deploy", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
OmniReason-Deploy / figures
1.23 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
qf-iquest's picture
qf-iquest
Publish best checkpoint (step_1000, eval_accuracy 0.710) with full 15-benchmark results
3b5b205 verified 7 days ago
  • badge.png
    410 Bytes
    Publish best checkpoint (step_1000, eval_accuracy 0.710) with full 15-benchmark results 7 days ago
  • benchmark_chart.png
    410 Bytes
    Publish best checkpoint (step_1000, eval_accuracy 0.710) with full 15-benchmark results 7 days ago
  • hero_image.png
    410 Bytes
    Publish best checkpoint (step_1000, eval_accuracy 0.710) with full 15-benchmark results 7 days ago