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StandardThinking
/
StandardOne-3B-SH-FP8

Text Classification
Transformers
Safetensors
mistral3
image-text-to-text
decision-model
schema-head
fp8
compressed-tensors
Model card Files Files and versions
xet
Community

Instructions to use StandardThinking/StandardOne-3B-SH-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use StandardThinking/StandardOne-3B-SH-FP8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="StandardThinking/StandardOne-3B-SH-FP8")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForMultimodalLM
    
    processor = AutoProcessor.from_pretrained("StandardThinking/StandardOne-3B-SH-FP8")
    model = AutoModelForMultimodalLM.from_pretrained("StandardThinking/StandardOne-3B-SH-FP8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
StandardOne-3B-SH-FP8 / head
278 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
MyeongHoJeong's picture
MyeongHoJeong
v2: StandardOne-3B-SH v2 weights + head
1f36089 verified about 9 hours ago
  • schema_head.safetensors
    278 MB
    xet
    v2: StandardOne-3B-SH v2 weights + head about 9 hours ago
  • schema_head_config.json
    523 Bytes
    v2: StandardOne-3B-SH v2 weights + head about 9 hours ago