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StandardThinking
/
StandardOne-8B-SH

Text Classification
Transformers
Safetensors
English
mistral3
image-text-to-text
decision-model
typed-decisions
schema-head
jev
calibration
decode-free
Model card Files Files and versions
xet
Community

Instructions to use StandardThinking/StandardOne-8B-SH with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use StandardThinking/StandardOne-8B-SH with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="StandardThinking/StandardOne-8B-SH")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("StandardThinking/StandardOne-8B-SH")
    model = AutoModelForMultimodalLM.from_pretrained("StandardThinking/StandardOne-8B-SH", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
StandardOne-8B-SH / code /__pycache__
105 kB
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  • 1 contributor
History: 1 commit
MyeongHoJeong's picture
MyeongHoJeong
Standard One 8B SH: adapter, schema head and server code
c1264c3 verified 21 days ago
  • head.cpython-312.pyc
    29.1 kB
    Standard One 8B SH: adapter, schema head and server code 21 days ago
  • model.cpython-312.pyc
    19.4 kB
    Standard One 8B SH: adapter, schema head and server code 21 days ago
  • render.cpython-312.pyc
    27.4 kB
    Standard One 8B SH: adapter, schema head and server code 21 days ago
  • scoring.cpython-312.pyc
    15.6 kB
    Standard One 8B SH: adapter, schema head and server code 21 days ago
  • serve_head.cpython-312.pyc
    13.1 kB
    Standard One 8B SH: adapter, schema head and server code 21 days ago