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autotrust
/
AutoTrust-Decider-Pro-35B

Text Classification
Transformers
Safetensors
English
qwen3_5_moe
image-text-to-text
system-one
typed-decisions
decision-model
calibrated-probabilities
jev
noul
choice
score
mixture-of-experts
vllm
Eval Results (legacy)
Eval Results
Model card Files Files and versions
xet
Community
3

Instructions to use autotrust/AutoTrust-Decider-Pro-35B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autotrust/AutoTrust-Decider-Pro-35B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="autotrust/AutoTrust-Decider-Pro-35B")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("autotrust/AutoTrust-Decider-Pro-35B")
    model = AutoModelForMultimodalLM.from_pretrained("autotrust/AutoTrust-Decider-Pro-35B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

MLX builds for Apple Silicon (8-bit, 4-bit and 3-bit mixed, with vision)

#3 opened 23 days ago by
Paris99

About the confidence issue

#2 opened 23 days ago by
Donghao-1997

Add Typed Decisions benchmark eval results

#1 opened 26 days ago by
SaylorTwift
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