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patrickvonplaten
/
roberta_shared_bbc_xsum

Summarization
Transformers
PyTorch
English
encoder-decoder
text2text-generation
Model card Files Files and versions
xet
Community
3

Instructions to use patrickvonplaten/roberta_shared_bbc_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

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  • Transformers

    How to use patrickvonplaten/roberta_shared_bbc_xsum 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="patrickvonplaten/roberta_shared_bbc_xsum")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/roberta_shared_bbc_xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("patrickvonplaten/roberta_shared_bbc_xsum")
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The link was for BERT2BERT warm start model, not the RoBERTaShared model

#3 opened over 2 years ago by
pyRis

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot

it's not working

#1 opened over 3 years ago by
peshangjaafar
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