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DataWizardd
/
finbert-sentiment-ko

Text Classification
Transformers
Safetensors
Korean
bert
sentiment-analysis
korean
finance
finbert
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use DataWizardd/finbert-sentiment-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DataWizardd/finbert-sentiment-ko with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="DataWizardd/finbert-sentiment-ko")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("DataWizardd/finbert-sentiment-ko")
    model = AutoModelForSequenceClassification.from_pretrained("DataWizardd/finbert-sentiment-ko")
  • Notebooks
  • Google Colab
  • Kaggle
finbert-sentiment-ko
406 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
DataWizardd's picture
DataWizardd
Update README.md
27bafa1 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.73 kB
    Update README.md about 1 year ago
  • config.json
    925 Bytes
    Upload BertForSequenceClassification about 1 year ago
  • model.safetensors
    406 MB
    xet
    Upload BertForSequenceClassification about 1 year ago
  • special_tokens_map.json
    732 Bytes
    Upload tokenizer about 1 year ago
  • tokenizer.json
    455 kB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    1.55 kB
    Upload tokenizer about 1 year ago
  • vocab.txt
    143 kB
    Upload tokenizer about 1 year ago