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fatihfauzan26
/
PEGASUS_mini_super

Summarization
Transformers
Safetensors
Indonesian
pegasus
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use fatihfauzan26/PEGASUS_mini_super with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fatihfauzan26/PEGASUS_mini_super 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="fatihfauzan26/PEGASUS_mini_super")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("fatihfauzan26/PEGASUS_mini_super")
    model = AutoModelForSeq2SeqLM.from_pretrained("fatihfauzan26/PEGASUS_mini_super")
  • Notebooks
  • Google Colab
  • Kaggle
PEGASUS_mini_super
6.84 GB
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  • 1 contributor
History: 5 commits
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fatihfauzan26
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  • generation_config.json
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  • special_tokens_map.json
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  • spiece.model
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  • tokenizer_config.json
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