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inclusionAI
/
Ming-Lite-Omni

Any-to-Any
Transformers
ONNX
Diffusers
Safetensors
bailingmm
text-generation
custom_code
Model card Files Files and versions
xet
Community
6

Instructions to use inclusionAI/Ming-Lite-Omni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use inclusionAI/Ming-Lite-Omni with Transformers:

    # Load model directly
    from transformers import AutoModelForSeq2SeqLM
    model = AutoModelForSeq2SeqLM.from_pretrained("inclusionAI/Ming-Lite-Omni", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Ming-Lite-Omni / sentence_manager /text_norm /utils
93.4 kB
Ctrl+K
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  • 5 contributors
History: 1 commit
LandyGuo
update 20250516 version
81a8221 about 1 year ago
  • address.py
    598 Bytes
    update 20250516 version about 1 year ago
  • char_convert.py
    66.2 kB
    update 20250516 version about 1 year ago
  • chronology.py
    4.13 kB
    update 20250516 version about 1 year ago
  • constants.py
    2.33 kB
    update 20250516 version about 1 year ago
  • currency.py
    746 Bytes
    update 20250516 version about 1 year ago
  • en_num.py
    2.47 kB
    update 20250516 version about 1 year ago
  • num.py
    8.71 kB
    update 20250516 version about 1 year ago
  • phonecode.py
    1.96 kB
    update 20250516 version about 1 year ago
  • quantifier.py
    1.2 kB
    update 20250516 version about 1 year ago
  • string_operator.py
    5.02 kB
    update 20250516 version about 1 year ago