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9mark9
/
finbert-deberta-large-sentiment

Text Classification
Transformers
Safetensors
English
deberta-v2
financial-sentiment
finance
sentiment-analysis
deberta-v3
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use 9mark9/finbert-deberta-large-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 9mark9/finbert-deberta-large-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="9mark9/finbert-deberta-large-sentiment")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("9mark9/finbert-deberta-large-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("9mark9/finbert-deberta-large-sentiment", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finbert-deberta-large-sentiment / training
25.7 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
9mark9's picture
9mark9
Add DeBERTa-v3-large financial sentiment model, card, training and scoring scripts
5e7bf77 verified 10 days ago
  • analyze.py
    2.73 kB
    Add DeBERTa-v3-large financial sentiment model, card, training and scoring scripts 10 days ago
  • app.py
    11.7 kB
    Add DeBERTa-v3-large financial sentiment model, card, training and scoring scripts 10 days ago
  • common.py
    7.51 kB
    Add DeBERTa-v3-large financial sentiment model, card, training and scoring scripts 10 days ago
  • drive.py
    3.69 kB
    Add DeBERTa-v3-large financial sentiment model, card, training and scoring scripts 10 days ago
  • requirements.txt
    107 Bytes
    Add DeBERTa-v3-large financial sentiment model, card, training and scoring scripts 10 days ago