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baselabs
/
mammoth-1

Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
classification
calibration
routing
guardrails
baseten
Model card Files Files and versions
xet
Community
2

Instructions to use baselabs/mammoth-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use baselabs/mammoth-1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="baselabs/mammoth-1")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("baselabs/mammoth-1")
    model = AutoModelForMultimodalLM.from_pretrained("baselabs/mammoth-1", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Mammoth-1 tops my System 1 decision benchmark — 84.9%, 240 ms median

#2 opened about 3 hours ago by
etsabary
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