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m-usab
/
finetuned-en-fr

Translation
Transformers
Safetensors
marian
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use m-usab/finetuned-en-fr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use m-usab/finetuned-en-fr 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="m-usab/finetuned-en-fr")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("m-usab/finetuned-en-fr")
    model = AutoModelForSeq2SeqLM.from_pretrained("m-usab/finetuned-en-fr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
finetuned-en-fr
302 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
m-usab's picture
m-usab
Training complete
ef994c9 verified about 1 year ago
  • .gitattributes
    1.61 kB
    Training complete about 1 year ago
  • README.md
    1.22 kB
    Training complete about 1 year ago
  • config.json
    1.34 kB
    Training complete about 1 year ago
  • generation_config.json
    288 Bytes
    Training complete about 1 year ago
  • model.safetensors
    299 MB
    xet
    Training complete about 1 year ago
  • source.spm
    778 kB
    xet
    Training complete about 1 year ago
  • special_tokens_map.json
    74 Bytes
    Training complete about 1 year ago
  • target.spm
    802 kB
    xet
    Training complete about 1 year ago
  • tokenizer_config.json
    873 Bytes
    Training complete about 1 year ago
  • training_args.bin
    5.37 kB
    xet
    Training complete about 1 year ago
  • vocab.json
    1.46 MB
    Training complete about 1 year ago