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ConvAnalysis
/
DialogLED-base-16384-QMSum-finetuned

Summarization
Transformers
TensorBoard
Safetensors
led
text2text-generation
Generated from Trainer
conversatoin_summarizer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ConvAnalysis/DialogLED-base-16384-QMSum-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ConvAnalysis/DialogLED-base-16384-QMSum-finetuned 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="ConvAnalysis/DialogLED-base-16384-QMSum-finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ConvAnalysis/DialogLED-base-16384-QMSum-finetuned")
    model = AutoModelForSeq2SeqLM.from_pretrained("ConvAnalysis/DialogLED-base-16384-QMSum-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
DialogLED-base-16384-QMSum-finetuned / runs
5.92 kB
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  • 1 contributor
History: 1 commit
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StDestiny
Upload 12 files
c5dc724 verified about 2 years ago
  • Apr08_04-01-22_7b96db0862e3
    Upload 12 files about 2 years ago