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Q1z
/
Pivot

Feature Extraction
Transformers
Safetensors
pivot
decision-making
classification
scoring
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Q1z/Pivot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Q1z/Pivot with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Q1z/Pivot", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Q1z/Pivot", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Pivot / serving
5.56 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Q1z's picture
Q1z
Expand Pivot model card, benchmarks, CPU tools and charts
7c85c7e verified about 8 hours ago
  • README.md
    1.08 kB
    Expand Pivot model card, benchmarks, CPU tools and charts about 8 hours ago
  • example_request.json
    502 Bytes
    Upload folder using huggingface_hub 4 days ago
  • example_response.json
    1.76 kB
    Pivot H200 full retrain about 15 hours ago
  • native_example_request.json
    432 Bytes
    Pivot H200 full retrain about 15 hours ago
  • native_example_response.json
    1.05 kB
    Pivot H200 full retrain about 15 hours ago
  • typed_decisions.py
    733 Bytes
    Expand Pivot model card, benchmarks, CPU tools and charts about 8 hours ago