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yiyanghkust
/
finbert-tone

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
English
financial-sentiment-analysis
sentiment-analysis
Model card Files Files and versions
xet
Community
20

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

  • Libraries
  • Transformers

    How to use yiyanghkust/finbert-tone with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yiyanghkust/finbert-tone")
    # Load model directly
    from transformers import AutoModelForSequenceClassification
    model = AutoModelForSequenceClassification.from_pretrained("yiyanghkust/finbert-tone", dtype="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
finbert-tone
1.32 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 21 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
b7c7810 verified over 1 year ago
  • .gitattributes
    791 Bytes
    Adding `safetensors` variant of this model over 1 year ago
  • README.md
    1.94 kB
    Update README.md over 3 years ago
  • config.json
    533 Bytes
    captialize label about 4 years ago
  • model.safetensors
    439 MB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    439 MB
    xet
    upload finbert-tone almost 5 years ago
  • tf_model.h5
    439 MB
    xet
    Add TF weights (#2) almost 4 years ago
  • vocab.txt
    226 kB
    upload finbert-tone almost 5 years ago