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oraculumai
/
Manchego

Text Classification
Transformers
Safetensors
English
qwen3_5
image-text-to-text
decision-model
system-one
calibration
typed-decisions
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use oraculumai/Manchego with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="oraculumai/Manchego")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("oraculumai/Manchego")
    model = AutoModelForMultimodalLM.from_pretrained("oraculumai/Manchego", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Manchego / eval
31.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
oraculumai's picture
oraculumai
Manchego v3
f82e029 verified 5 days ago
  • README.md
    1.63 kB
    Manchego v3 5 days ago
  • de_minimis_probe.json
    13.6 kB
    Manchego v3 5 days ago
  • formats.json
    5.51 kB
    Manchego v3 5 days ago
  • release_read.json
    10.5 kB
    Manchego v3 5 days ago