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xnx3
/
translate100

Translation
Transformers
PyTorch
English
Chinese
m2m_100
text2text-generation
translate
text-translate
Model card Files Files and versions
xet
Community
3

Instructions to use xnx3/translate100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xnx3/translate100 with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "translation" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("translation", model="xnx3/translate100")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("xnx3/translate100")
    model = AutoModelForSeq2SeqLM.from_pretrained("xnx3/translate100")
  • Notebooks
  • Google Colab
  • Kaggle
translate100
Ctrl+K
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  • 2 contributors
History: 16 commits
xnx3's picture
xnx3
Update README.md
abda212 verified 9 months ago
  • resources
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  • .gitattributes
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  • README.md
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  • README_cn.md
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  • config.json
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  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    1.33 GB
    xet
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  • sentencepiece.bpe.model
    2.42 MB
    xet
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  • special_tokens_map.json
    1.56 kB
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  • start.sh
    426 Bytes
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  • tokenization_small100.py
    16 kB
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  • tokenizer_config.json
    1.87 kB
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  • translate100.exe
    4.21 GB
    xet
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  • translate100.py
    24.2 kB
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  • vocab.json
    3.71 MB
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