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yseop
/
distilbert-base-financial-relation-extraction

Text Classification
Transformers
PyTorch
feature-extraction
Model card Files Files and versions
xet
Community
2

Instructions to use yseop/distilbert-base-financial-relation-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yseop/distilbert-base-financial-relation-extraction with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="yseop/distilbert-base-financial-relation-extraction")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yseop/distilbert-base-financial-relation-extraction", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

what are the Steps to do the same works but in other seanario ( real estate )

#2 opened over 2 years ago by
MohamedZouabi

Adding `safetensors` variant of this model

#1 opened almost 3 years ago by
SFconvertbot
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