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farhanage
/
MTL-FinancialNews-Topic-Sentiment

Text Classification
Transformers
English
financial-nlp
sentiment-analysis
topic-classification
multitask-learning
bert
financial-news
Model card Files Files and versions
xet
Community

Instructions to use farhanage/MTL-FinancialNews-Topic-Sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use farhanage/MTL-FinancialNews-Topic-Sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="farhanage/MTL-FinancialNews-Topic-Sentiment")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("farhanage/MTL-FinancialNews-Topic-Sentiment", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
MTL-FinancialNews-Topic-Sentiment
1.32 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
farhanage's picture
farhanage
updated model card
16ebaf5 11 months ago
  • .gitattributes
    1.55 kB
    added .pth models 11 months ago
  • README.md
    3.98 kB
    updated model card 11 months ago
  • multitask_bert_model.pkl
    439 MB
    xet
    initial model commit 12 months ago
  • multitask_bert_model_imbalanced.pth
    438 MB
    xet
    added .pth models 11 months ago
  • multitask_bert_model_weight.pth
    438 MB
    xet
    added .pth models 11 months ago