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google
/
roberta2roberta_L-24_bbc

Summarization
Transformers
PyTorch
English
encoder-decoder
text2text-generation
Model card Files Files and versions
xet
Community
2

Instructions to use google/roberta2roberta_L-24_bbc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use google/roberta2roberta_L-24_bbc 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/roberta2roberta_L-24_bbc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("google/roberta2roberta_L-24_bbc")
    model = AutoModelForSeq2SeqLM.from_pretrained("google/roberta2roberta_L-24_bbc")
  • Notebooks
  • Google Colab
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Add evaluation results on the mlqa config and test.ar split of xglue

#2 opened over 2 years ago by
autoevaluator

Adding `safetensors` variant of this model

#1 opened about 3 years ago by
SFconvertbot
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