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petra345
/
ReasoningRelease-AuditRepo

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

Instructions to use petra345/ReasoningRelease-AuditRepo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use petra345/ReasoningRelease-AuditRepo with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="petra345/ReasoningRelease-AuditRepo")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("petra345/ReasoningRelease-AuditRepo")
    model = AutoModel.from_pretrained("petra345/ReasoningRelease-AuditRepo")
  • Notebooks
  • Google Colab
  • Kaggle
ReasoningRelease-AuditRepo / audit
34.5 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
petra345's picture
petra345
Upload balanced release candidate audit payload
2f82dcb verified 8 days ago
  • benchmark_trace.jsonl
    28.4 kB
    Upload balanced release candidate audit payload 8 days ago
  • checkpoint_scorecard.csv
    818 Bytes
    Add balanced release candidate audit bundle 8 days ago
  • release_bundle_manifest.json
    1.69 kB
    Upload balanced release candidate audit payload 8 days ago
  • selection_audit.json
    3.58 kB
    Upload balanced release candidate audit payload 8 days ago