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mpapucci
/
BertForItaCaseholdClassification

Text Classification
Transformers
Safetensors
Italian
bert
administrative
public_administration
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use mpapucci/BertForItaCaseholdClassification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mpapucci/BertForItaCaseholdClassification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mpapucci/BertForItaCaseholdClassification")
    model = AutoModelForSequenceClassification.from_pretrained("mpapucci/BertForItaCaseholdClassification")
  • Notebooks
  • Google Colab
  • Kaggle
BertForItaCaseholdClassification
440 MB
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  • 1 contributor
History: 3 commits
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mpapucci
Update README.md
11fcd2e verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    1.1 kB
    Update README.md 11 months ago
  • config.json
    996 Bytes
    Upload BertForSequenceClassification 11 months ago
  • model.safetensors
    440 MB
    xet
    Upload BertForSequenceClassification 11 months ago