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ProsusAI
/
finbert

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
English
bert
financial-sentiment-analysis
sentiment-analysis
Model card Files Files and versions
xet
Community
30

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

  • Libraries
  • Transformers

    How to use ProsusAI/finbert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ProsusAI/finbert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ProsusAI/finbert")
    model = AutoModelForSequenceClassification.from_pretrained("ProsusAI/finbert")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
finbert / onnx
439 MB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 1 commit
jstapican26's picture
jstapican26
Adding ONNX file of this model
1b7521e over 2 years ago
  • added_tokens.json
    82 Bytes
    Adding ONNX file of this model over 2 years ago
  • config.json
    807 Bytes
    Adding ONNX file of this model over 2 years ago
  • model.onnx
    438 MB
    xet
    Adding ONNX file of this model over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Adding ONNX file of this model over 2 years ago
  • tokenizer.json
    711 kB
    Adding ONNX file of this model over 2 years ago
  • tokenizer_config.json
    1.28 kB
    Adding ONNX file of this model over 2 years ago
  • vocab.txt
    232 kB
    Adding ONNX file of this model over 2 years ago