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halation
/
bert-base-japanese-v3-jsts

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

Instructions to use halation/bert-base-japanese-v3-jsts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use halation/bert-base-japanese-v3-jsts with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="halation/bert-base-japanese-v3-jsts")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("halation/bert-base-japanese-v3-jsts")
    model = AutoModelForSequenceClassification.from_pretrained("halation/bert-base-japanese-v3-jsts")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-japanese-v3-jsts
445 MB
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  • 1 contributor
History: 3 commits
halation's picture
halation
Upload BertForSequenceClassification
99c710f verified 9 months ago
  • .gitattributes
    1.52 kB
    initial commit 9 months ago
  • README.md
    5.17 kB
    Upload tokenizer 9 months ago
  • config.json
    713 Bytes
    Upload BertForSequenceClassification 9 months ago
  • model.safetensors
    445 MB
    xet
    Upload BertForSequenceClassification 9 months ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer 9 months ago
  • tokenizer_config.json
    1.43 kB
    Upload tokenizer 9 months ago
  • vocab.txt
    231 kB
    Upload tokenizer 9 months ago