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Xenova
/
t5-small_onnx-quantized

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

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

  • Libraries
  • Transformers

    How to use Xenova/t5-small_onnx-quantized with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Xenova/t5-small_onnx-quantized")
    model = AutoModelForSeq2SeqLM.from_pretrained("Xenova/t5-small_onnx-quantized")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small_onnx-quantized
153 MB
Ctrl+K
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  • 2 contributors
History: 2 commits
Xenova's picture
Xenova HF Staff
Upload 8 files
6c9bb28 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    1.46 kB
    Upload 8 files about 3 years ago
  • decoder_model.onnx
    58.8 MB
    xet
    Upload 8 files about 3 years ago
  • decoder_with_past_model.onnx
    55.6 MB
    xet
    Upload 8 files about 3 years ago
  • encoder_model.onnx
    35.7 MB
    xet
    Upload 8 files about 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload 8 files about 3 years ago
  • spiece.model
    792 kB
    xet
    Upload 8 files about 3 years ago
  • tokenizer.json
    2.42 MB
    Upload 8 files about 3 years ago
  • tokenizer_config.json
    2.39 kB
    Upload 8 files about 3 years ago