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shorecode
/
t5-efficient-tiny-summarizer-general-purpose-v2

Transformers
PyTorch
google-tensorflow TensorFlow
ONNX
Safetensors
English
t5
text2text-generation
summary
summarizer
Eval Results (legacy)
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use shorecode/t5-efficient-tiny-summarizer-general-purpose-v2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2")
    model = AutoModelForSeq2SeqLM.from_pretrained("shorecode/t5-efficient-tiny-summarizer-general-purpose-v2")
  • Notebooks
  • Google Colab
  • Kaggle
t5-efficient-tiny-summarizer-general-purpose-v2 / onnx
209 MB
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  • 1 contributor
History: 1 commit
shorecode's picture
shorecode
Upload 5 files
5bd37b2 verified 6 months ago
  • config.json
    724 Bytes
    Upload 5 files 6 months ago
  • decoder_model.onnx
    82.7 MB
    xet
    Upload 5 files 6 months ago
  • decoder_with_past_model.onnx
    80.6 MB
    xet
    Upload 5 files 6 months ago
  • encoder_model.onnx
    45.6 MB
    xet
    Upload 5 files 6 months ago
  • generation_config.json
    142 Bytes
    Upload 5 files 6 months ago