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mschwab
/
va_bert_classification

Text Classification
Transformers
PyTorch
English
bert
sentence classification
vossian antonomasia
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use mschwab/va_bert_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mschwab/va_bert_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mschwab/va_bert_classification")
    model = AutoModelForSequenceClassification.from_pretrained("mschwab/va_bert_classification")
  • Notebooks
  • Google Colab
  • Kaggle
va_bert_classification
7.39 kB
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  • 1 contributor
History: 7 commits
mschwab's picture
mschwab
upload trainer args
5b23a28 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    86 Bytes
    Create Readme over 4 years ago
  • config.json
    622 Bytes
    upload config over 4 years ago
  • special_tokens_map.json
    112 Bytes
    upload special tokens over 4 years ago
  • tokenizer_config.json
    284 Bytes
    upload tokenizer config over 4 years ago
  • trainer_state.json
    2.83 kB
    upload trainer state over 4 years ago
  • training_args.bin
    2.29 kB
    xet
    upload trainer args over 4 years ago