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unnat17
/
Text-Summarizer

Summarization
Transformers
Safetensors
PyTorch
English
t5
text2text-generation
t5-small
text-summarization
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use unnat17/Text-Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use unnat17/Text-Summarizer 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="unnat17/Text-Summarizer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("unnat17/Text-Summarizer")
    model = AutoModelForSeq2SeqLM.from_pretrained("unnat17/Text-Summarizer")
  • Notebooks
  • Google Colab
  • Kaggle
Text-Summarizer
1.59 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
unnat17's picture
unnat17
initial commit
c6fbc85 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • LICENSE
    0 Bytes
    initial commit about 1 month ago
  • README.md
    75 Bytes
    initial commit about 1 month ago