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Soumadeep555
/
T5-Small-Model-FineTuned-Summarization

Summarization
Transformers
Safetensors
English
t5
text2text-generation
llm
genai
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Soumadeep555/T5-Small-Model-FineTuned-Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Soumadeep555/T5-Small-Model-FineTuned-Summarization 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="Soumadeep555/T5-Small-Model-FineTuned-Summarization")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Soumadeep555/T5-Small-Model-FineTuned-Summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("Soumadeep555/T5-Small-Model-FineTuned-Summarization")
  • Notebooks
  • Google Colab
  • Kaggle
T5-Small-Model-FineTuned-Summarization
242 MB
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  • 1 contributor
History: 3 commits
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Soumadeep555
Update README.md
d983457 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
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    Update README.md about 1 year ago
  • config.json
    1.44 kB
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  • generation_config.json
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  • model.safetensors
    242 MB
    xet
    Upload T5ForConditionalGeneration about 1 year ago