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human-centered-summarization
/
financial-summarization-pegasus

Summarization
Transformers
PyTorch
google-tensorflow TensorFlow
Safetensors
English
pegasus
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community
8

Instructions to use human-centered-summarization/financial-summarization-pegasus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use human-centered-summarization/financial-summarization-pegasus 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="human-centered-summarization/financial-summarization-pegasus")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("human-centered-summarization/financial-summarization-pegasus")
    model = AutoModelForSeq2SeqLM.from_pretrained("human-centered-summarization/financial-summarization-pegasus", device_map="auto")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Multilingual powerhouse — testing for mobile deployment

1
#8 opened 4 months ago by
3morixd

Is there a way to provide instruction?

1
#7 opened about 3 years ago by
vmajor

模型是不是少了vocab.txt文件

1
#6 opened over 3 years ago by
linchun

Will the dataset be published?

1
#5 opened over 3 years ago by
THEATLAS
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