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sionic-ai
/
nllb-200-ko-gec-3.3B

Translation
Transformers
PyTorch
m2m_100
text2text-generation
nllb
Model card Files Files and versions
xet
Community
2

Instructions to use sionic-ai/nllb-200-ko-gec-3.3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sionic-ai/nllb-200-ko-gec-3.3B 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="sionic-ai/nllb-200-ko-gec-3.3B")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("sionic-ai/nllb-200-ko-gec-3.3B")
    model = AutoModelForSeq2SeqLM.from_pretrained("sionic-ai/nllb-200-ko-gec-3.3B")
  • Notebooks
  • Google Colab
  • Kaggle
nllb-200-ko-gec-3.3B
13.4 GB
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  • 1 contributor
History: 6 commits
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esunn
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  • pytorch_model-00001-of-00002.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

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  • pytorch_model-00002-of-00002.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

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  • pytorch_model.bin.index.json
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  • sentencepiece.bpe.model
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  • special_tokens_map.json
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  • tokenizer.json
    17.3 MB
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  • tokenizer_config.json
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