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minnesotanlp
/
scholawrite-bert-classifier

Text Classification
Transformers
Safetensors
English
bert
feature-extraction
Writing
Acdamic_Writing
Scholarly_Writing
Overleaf
LaTex
Natural_Language_Processing
Model card Files Files and versions
xet
Community

Instructions to use minnesotanlp/scholawrite-bert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use minnesotanlp/scholawrite-bert-classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="minnesotanlp/scholawrite-bert-classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("minnesotanlp/scholawrite-bert-classifier")
    model = AutoModel.from_pretrained("minnesotanlp/scholawrite-bert-classifier")
  • Notebooks
  • Google Colab
  • Kaggle
scholawrite-bert-classifier
438 MB
Ctrl+K
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  • 2 contributors
History: 7 commits
Linghe-Wang's picture
Linghe-Wang
Update README.md
e7180c6 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    8.08 kB
    Update README.md over 1 year ago
  • config.json
    1.38 kB
    Upload model over 1 year ago
  • model.safetensors
    438 MB
    xet
    Upload model over 1 year ago