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MrFrijo
/
LiAPI

Translation
Transformers
Safetensors
Lingala
French
marian
text2text-generation
traduction
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use MrFrijo/LiAPI 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="MrFrijo/LiAPI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("MrFrijo/LiAPI")
    model = AutoModelForSeq2SeqLM.from_pretrained("MrFrijo/LiAPI")
  • Notebooks
  • Google Colab
  • Kaggle
LiAPI
302 MB
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  • 1 contributor
History: 7 commits
MrFrijo's picture
MrFrijo
Upload tokenizer
55bf22a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    301 Bytes
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  • config.json
    1.38 kB
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  • generation_config.json
    288 Bytes
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  • model.safetensors
    299 MB
    xet
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  • source.spm
    802 kB
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  • special_tokens_map.json
    416 Bytes
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  • target.spm
    778 kB
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  • tokenizer_config.json
    846 Bytes
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  • vocab.json
    1.46 MB
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