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madgnome
/
nameattrsbertfinal

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

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

  • Libraries
  • Transformers

    How to use madgnome/nameattrsbertfinal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="madgnome/nameattrsbertfinal")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("madgnome/nameattrsbertfinal")
    model = AutoModelForSequenceClassification.from_pretrained("madgnome/nameattrsbertfinal")
  • Notebooks
  • Google Colab
  • Kaggle
nameattrsbertfinal
719 MB
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  • 1 contributor
History: 3 commits
madgnome's picture
madgnome
Upload tokenizer
6fda70a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload BertForSequenceClassification over 1 year ago
  • config.json
    958 Bytes
    Upload BertForSequenceClassification over 1 year ago
  • model.safetensors
    713 MB
    xet
    Upload BertForSequenceClassification over 1 year ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer.json
    3.71 MB
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.27 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    1.78 MB
    Upload tokenizer over 1 year ago