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vadim-pashaev
/
nllb-200-distilled-600M-lez-rus-v1

Translation
Transformers
Safetensors
Lezghian
Russian
m2m_100
text2text-generation
nllb
lezgi
russian
Model card Files Files and versions
xet
Community

Instructions to use vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1 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="vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1")
    model = AutoModelForSeq2SeqLM.from_pretrained("vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1")
  • Notebooks
  • Google Colab
  • Kaggle
nllb-200-distilled-600M-lez-rus-v1
2.51 GB
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  • 1 contributor
History: 2 commits
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vadim-pashaev
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  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.29 kB
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  • README.md:Zone.Identifier
    25 Bytes
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  • added_tokens.json
    23 Bytes
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  • config.json
    913 Bytes
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  • generation_config.json
    223 Bytes
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  • model.safetensors
    2.5 GB
    xet
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  • sentencepiece.bpe.model
    5.12 MB
    xet
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  • special_tokens_map.json
    963 Bytes
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  • tokenizer_config.json
    1.28 kB
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