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randomshit11
/
FIN-BERT-annual-report

Summarization
Transformers
PyTorch
English
pegasus
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use randomshit11/FIN-BERT-annual-report with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use randomshit11/FIN-BERT-annual-report with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "summarization" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("summarization", model="randomshit11/FIN-BERT-annual-report")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("randomshit11/FIN-BERT-annual-report")
    model = AutoModelForSeq2SeqLM.from_pretrained("randomshit11/FIN-BERT-annual-report", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
FIN-BERT-annual-report
4.41 GB
Ctrl+K
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  • 1 contributor
History: 3 commits

This model has 1 file scanned as unsafe.

randomshit11's picture
randomshit11
Update README.md
174d75b almost 3 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • file.zip
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  • generation_config.json
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  • pytorch_model.bin
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