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Falconsai
/
proof_v3

Zero-Shot Classification
Transformers
GGUF
English
decision-model
system-one
falcondec
calibrated-decisions
multiple-choice
intent-classification
customer-support
natural-language-inference
code
guardrails
selective-prediction
falconsai
model-surgeon
attested-lineage
Model card Files Files and versions
xet
Community
1

Instructions to use Falconsai/proof_v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Falconsai/proof_v3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="Falconsai/proof_v3")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Falconsai/proof_v3", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
proof_v3 / tokenizer
3.58 MB
Ctrl+K
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  • 2 contributors
History: 1 commit
RealFalconsAI's picture
RealFalconsAI
Upload 9 files
6bf0bc1 verified about 9 hours ago
  • tokenizer.json
    3.58 MB
    Upload 9 files about 9 hours ago
  • tokenizer_config.json
    397 Bytes
    Upload 9 files about 9 hours ago