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soleimanian
/
financial-roberta-large-sentiment

Text Classification
Transformers
PyTorch
English
roberta
Sentiment
RoBERTa
Financial Statements
Accounting
Finance
Business
ESG
CSR Reports
Financial News
Earnings Call Transcripts
Sustainability
Corporate governance
Model card Files Files and versions
xet
Community
5

Instructions to use soleimanian/financial-roberta-large-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use soleimanian/financial-roberta-large-sentiment with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="soleimanian/financial-roberta-large-sentiment")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("soleimanian/financial-roberta-large-sentiment")
    model = AutoModelForSequenceClassification.from_pretrained("soleimanian/financial-roberta-large-sentiment", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#5 opened 2 months ago by
SFconvertbot

Should I be concerned about "UserWarning: TypedStorage is deprecated. " when using the model with python 3.11?

#4 opened over 1 year ago by
poohlio

Paper

➕ 1
#3 opened over 2 years ago by
Antidepresan

Adding `safetensors` variant of this model

#2 opened over 3 years ago by
SFconvertbot

Upload README.md with huggingface_hub

#1 opened almost 4 years ago by
lbourdois
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