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Falconsai
/
proof_V_1

Text Classification
Transformers
GGUF
English
falconsproof
decision-model
zero-shot-classification
multiple-choice
intent-classification
customer-support
knowledge-distillation
cross-encoder
calibration
selective-prediction
distilbert
falconsai
model-surgeon
attested-lineage
Model card Files Files and versions
xet
Community
1

Instructions to use Falconsai/proof_V_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Falconsai/proof_V_1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Falconsai/proof_V_1")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Falconsai/proof_V_1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
proof_V_1
1.08 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 37 commits
RealFalconsAI's picture
RealFalconsAI
Upload falconsproof_modeling.py
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  • README.md
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  • config.json
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  • falconsai_surgeon_package_20260924-102651.zip
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  • falconsproof_modeling.py
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  • falconsproof_report.json
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  • model_edited.F32.gguf
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.txt
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