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phatjk
/
envit5-translation-onnx

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

Instructions to use phatjk/envit5-translation-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use phatjk/envit5-translation-onnx with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("phatjk/envit5-translation-onnx")
    model = AutoModelForSeq2SeqLM.from_pretrained("phatjk/envit5-translation-onnx", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
envit5-translation-onnx
1.96 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
phatjk's picture
phatjk
Upload tokenizer_config.json with huggingface_hub
3342f02 verified over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • config.json
    798 Bytes
    Upload config.json with huggingface_hub over 2 years ago
  • decoder_model.onnx
    761 MB
    xet
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  • decoder_with_past_model.onnx
    704 MB
    xet
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  • encoder_model.onnx
    494 MB
    xet
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  • generation_config.json
    142 Bytes
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  • special_tokens_map.json
    1.45 kB
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  • spiece.model
    1.1 MB
    xet
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  • tokenizer.json
    3.5 MB
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  • tokenizer_config.json
    10.4 kB
    Upload tokenizer_config.json with huggingface_hub over 2 years ago