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yeniguno
/
turkish-abstractive-summary-mt5

Summarization
Transformers
Safetensors
Turkish
mt5
text2text-generation
text-to-text
turkish
abstractive-summarization
Model card Files Files and versions
xet
Community

Instructions to use yeniguno/turkish-abstractive-summary-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yeniguno/turkish-abstractive-summary-mt5 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="yeniguno/turkish-abstractive-summary-mt5")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("yeniguno/turkish-abstractive-summary-mt5")
    model = AutoModelForSeq2SeqLM.from_pretrained("yeniguno/turkish-abstractive-summary-mt5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
turkish-abstractive-summary-mt5
2.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
yeniguno's picture
yeniguno
Update README.md
f4e2d5a verified over 1 year ago
  • .gitattributes
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  • README.md
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  • config.json
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  • generation_config.json
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  • model.safetensors
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    xet
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  • special_tokens_map.json
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  • spiece.model
    4.31 MB
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  • tokenizer.json
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    xet
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  • tokenizer_config.json
    981 Bytes
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