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areumtecnologia
/
bert-text-classification

Text Classification
Transformers
Safetensors
bert
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use areumtecnologia/bert-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use areumtecnologia/bert-text-classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="areumtecnologia/bert-text-classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("areumtecnologia/bert-text-classification")
    model = AutoModelForSequenceClassification.from_pretrained("areumtecnologia/bert-text-classification")
  • Notebooks
  • Google Colab
  • Kaggle
bert-text-classification
439 MB
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  • 1 contributor
History: 6 commits
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areumtecnologia
Update README.md
abd598f verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
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    Update README.md almost 2 years ago
  • config.json
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  • model.safetensors
    438 MB
    xet
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  • special_tokens_map.json
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  • tokenizer.json
    712 kB
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  • tokenizer_config.json
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  • vocab.txt
    232 kB
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