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ENTUM-AI
/
FinBERT-Multi

Text Classification
Transformers
Safetensors
English
bert
finbert
finance
sentiment
sentiment-analysis
financial-sentiment
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use ENTUM-AI/FinBERT-Multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ENTUM-AI/FinBERT-Multi with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ENTUM-AI/FinBERT-Multi")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ENTUM-AI/FinBERT-Multi")
    model = AutoModelForSequenceClassification.from_pretrained("ENTUM-AI/FinBERT-Multi")
  • Notebooks
  • Google Colab
  • Kaggle
FinBERT-Multi
439 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
ENTUM-AI's picture
ENTUM-AI
Upload FinBERT-Multi
a061e93 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    1.83 kB
    Upload FinBERT-Multi about 1 month ago
  • config.json
    924 Bytes
    Upload FinBERT-Multi about 1 month ago
  • model.safetensors
    438 MB
    xet
    Upload FinBERT-Multi about 1 month ago
  • tokenizer.json
    712 kB
    Upload FinBERT-Multi about 1 month ago
  • tokenizer_config.json
    322 Bytes
    Upload FinBERT-Multi about 1 month ago