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thethinkmachine
/
MICE

Text Classification
Transformers
Safetensors
English
modernbert
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use thethinkmachine/MICE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thethinkmachine/MICE with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="thethinkmachine/MICE")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("thethinkmachine/MICE")
    model = AutoModelForSequenceClassification.from_pretrained("thethinkmachine/MICE")
  • Notebooks
  • Google Colab
  • Kaggle
MICE
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
thethinkmachine's picture
thethinkmachine
Update README.md
e111026 verified 12 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    4.32 kB
    Update README.md 12 months ago
  • config.json
    1.4 kB
    Upload ModernBertForSequenceClassification over 1 year ago
  • model.safetensors
    1.58 GB
    xet
    Upload ModernBertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    694 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    3.58 MB
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  • tokenizer_config.json
    20.9 kB
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