Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

google
/
bigbird-pegasus-large-pubmed

Summarization
Transformers
PyTorch
English
bigbird_pegasus
text2text-generation
Eval Results (legacy)
Model card Files Files and versions
xet
Community
12

Instructions to use google/bigbird-pegasus-large-pubmed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/bigbird-pegasus-large-pubmed 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="google/bigbird-pegasus-large-pubmed")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google/bigbird-pegasus-large-pubmed")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/bigbird-pegasus-large-pubmed")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#12 opened about 3 years ago by
SFconvertbot

Add evaluation results on the kmfoda--booksum config and test split of kmfoda/booksum

#11 opened over 3 years ago by
autoevaluator

Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#10 opened over 3 years ago by
autoevaluator

the gradient_checkpointing option is always False in BigBirdPegasusEncoder, BigBirdPegasusDecoder class

#9 opened over 3 years ago by
hseom

Add evaluation results on the plain_text config and test split of launch/gov_report

#8 opened over 3 years ago by
autoevaluator

Add evaluation results on the plain_text config and validation split of launch/gov_report

#7 opened over 3 years ago by
autoevaluator
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs