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ssmisya
/
zh-jp_translator

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community
1

Instructions to use ssmisya/zh-jp_translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ssmisya/zh-jp_translator with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ssmisya/zh-jp_translator")
    model = AutoModelForSeq2SeqLM.from_pretrained("ssmisya/zh-jp_translator")
  • Notebooks
  • Google Colab
  • Kaggle
zh-jp_translator
1.32 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 294 commits
ssmisya's picture
ssmisya
Training in progress epoch 292
1d9cd6c over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • config.json
    807 Bytes
    Training in progress epoch 0 over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    1.32 GB
    xet
    Training in progress epoch 292 over 3 years ago
  • special_tokens_map.json
    74 Bytes
    Training in progress epoch 0 over 3 years ago
  • spiece.model
    1.51 MB
    xet
    Training in progress epoch 0 over 3 years ago
  • tokenizer.json
    5.66 MB
    Training in progress epoch 0 over 3 years ago
  • tokenizer_config.json
    272 Bytes
    Training in progress epoch 0 over 3 years ago