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microsoft
/
MiniLM-L12-H384-uncased

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
bert
Model card Files Files and versions
xet
Community
3

Instructions to use microsoft/MiniLM-L12-H384-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/MiniLM-L12-H384-uncased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="microsoft/MiniLM-L12-H384-uncased")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("microsoft/MiniLM-L12-H384-uncased", dtype="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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  • Code of Conduct
  • Hub documentation

tokenizer does not lowercase input (uncased model)

#3 opened about 2 months ago by
nikolina-p

Adding ONNX file of this model

#2 opened over 1 year ago by
Nyutiz

Adding `safetensors` variant of this model

❤️🤗 1
#1 opened over 2 years ago by
SFconvertbot
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