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slone
/
nllb-206-v2

Transformers
Safetensors
m2m_100
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use slone/nllb-206-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use slone/nllb-206-v2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("slone/nllb-206-v2")
    model = AutoModelForSeq2SeqLM.from_pretrained("slone/nllb-206-v2")
  • Notebooks
  • Google Colab
  • Kaggle
nllb-206-v2
2.59 GB
Ctrl+K
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  • 1 contributor
History: 8 commits
cointegrated's picture
cointegrated
Upload tokenizer
826e479 verified almost 2 years ago
  • .gitattributes
    1.57 kB
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  • README.md
    5.17 kB
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  • added_tokens.json
    4.56 kB
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  • config.json
    896 Bytes
    Upload M2M100ForConditionalGeneration almost 2 years ago
  • generation_config.json
    184 Bytes
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  • model.safetensors
    2.57 GB
    xet
    Upload M2M100ForConditionalGeneration almost 2 years ago
  • sentencepiece.bpe.model
    5.49 MB
    xet
    Upload tokenizer almost 2 years ago
  • special_tokens_map.json
    4.3 kB
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  • tokenizer.json
    19.1 MB
    xet
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  • tokenizer_config.json
    40.6 kB
    Upload tokenizer almost 2 years ago