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leumastai
/
t5-base-summariser-quantized

Transformers
ONNX
t5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use leumastai/t5-base-summariser-quantized with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use leumastai/t5-base-summariser-quantized with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("leumastai/t5-base-summariser-quantized")
    model = AutoModelForSeq2SeqLM.from_pretrained("leumastai/t5-base-summariser-quantized")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-summariser-quantized
428 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
leumastai's picture
leumastai
Converted pt.bin to onnx and quantized model
d3a46bc about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    21 Bytes
    initial commit about 3 years ago
  • config.json
    1.42 kB
    Converted pt.bin to onnx and quantized model about 3 years ago
  • special_tokens_map.json
    2.2 kB
    Converted pt.bin to onnx and quantized model about 3 years ago
  • spiece.model
    792 kB
    xet
    Converted pt.bin to onnx and quantized model about 3 years ago
  • t5-base-finetuned-summarize-news-decoder-quantized.onnx
    150 MB
    xet
    Converted pt.bin to onnx and quantized model about 3 years ago
  • t5-base-finetuned-summarize-news-encoder-quantized.onnx
    110 MB
    xet
    Converted pt.bin to onnx and quantized model about 3 years ago
  • t5-base-finetuned-summarize-news-init-decoder-quantized.onnx
    164 MB
    xet
    Converted pt.bin to onnx and quantized model about 3 years ago
  • tokenizer.json
    2.42 MB
    Converted pt.bin to onnx and quantized model about 3 years ago
  • tokenizer_config.json
    2.5 kB
    Converted pt.bin to onnx and quantized model about 3 years ago