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LocaleNLP
/
eng_wolof

Translation
Transformers
Safetensors
English
Wolof
marian
text2text-generation
machine-translation
low-resource
english
wolof
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use LocaleNLP/eng_wolof 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="LocaleNLP/eng_wolof")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("LocaleNLP/eng_wolof")
    model = AutoModelForSeq2SeqLM.from_pretrained("LocaleNLP/eng_wolof")
  • Notebooks
  • Google Colab
  • Kaggle
eng_wolof
311 MB
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  • 1 contributor
History: 6 commits
Mgolo's picture
Mgolo
Update README.md
692e54b verified 9 months ago
  • .gitattributes
    1.61 kB
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  • README.md
    3.2 kB
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  • config.json
    1.32 kB
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  • generation_config.json
    288 Bytes
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  • model.safetensors
    308 MB
    xet
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  • source.spm
    790 kB
    xet
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  • special_tokens_map.json
    416 Bytes
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  • target.spm
    707 kB
    xet
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  • tokenizer_config.json
    849 Bytes
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  • vocab.json
    1.55 MB
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