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Arcio
/
quantized_t5_onnx_slimocra

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

Instructions to use Arcio/quantized_t5_onnx_slimocra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Arcio/quantized_t5_onnx_slimocra with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Arcio/quantized_t5_onnx_slimocra")
    model = AutoModelForSeq2SeqLM.from_pretrained("Arcio/quantized_t5_onnx_slimocra")
  • Notebooks
  • Google Colab
  • Kaggle
quantized_t5_onnx_slimocra
277 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
Arcio's picture
Arcio
Upload ort_config.json with huggingface_hub
b953360 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    1.61 kB
    Upload config.json with huggingface_hub over 2 years ago
  • decoder_model_merged_quantized.onnx
    164 MB
    xet
    Upload decoder_model_merged_quantized.onnx with huggingface_hub over 2 years ago
  • encoder_model_quantized.onnx
    110 MB
    xet
    Upload encoder_model_quantized.onnx with huggingface_hub over 2 years ago
  • ort_config.json
    830 Bytes
    Upload ort_config.json with huggingface_hub over 2 years ago
  • special_tokens_map.json
    2.54 kB
    Upload special_tokens_map.json with huggingface_hub over 2 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer.json with huggingface_hub over 2 years ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer_config.json with huggingface_hub over 2 years ago