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Duplicated from  autoevaluate/summarization

autoevaluate
/
summarization-not-evaluated

Summarization
Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
4

Instructions to use autoevaluate/summarization-not-evaluated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use autoevaluate/summarization-not-evaluated 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="autoevaluate/summarization-not-evaluated")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("autoevaluate/summarization-not-evaluated")
    model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/summarization-not-evaluated")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Librarian Bot: Add base_model information to model

#4 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#3 opened almost 3 years ago by
SFconvertbot

Add evaluation results on the autoevaluate--xsum-sample config and test split of autoevaluate/xsum-sample

#2 opened over 3 years ago by
autoevaluator

Add evaluation results on the autoevaluate--xsum-sample config and test split of autoevaluate/xsum-sample

#1 opened over 3 years ago by
lewtun
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