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microsoft
/
llmlingua-2-bert-base-multilingual-cased-meetingbank

Token Classification
Transformers
Safetensors
bert
Model card Files Files and versions
xet
Community
2

Instructions to use microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank")
    model = AutoModelForTokenClassification.from_pretrained("microsoft/llmlingua-2-bert-base-multilingual-cased-meetingbank")
  • Inference
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  • Google Colab
  • Kaggle
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TemporalMesh Transformer: 29.4 PPL at 48% compute — beats Mamba, new open-source architecture

#2 opened 13 days ago by
vigneshwar234
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