Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

Helsinki-NLP
/
opus-mt-tc-big-fr-zle

Translation
Transformers
PyTorch
Safetensors
marian
text2text-generation
opus-mt-tc
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use Helsinki-NLP/opus-mt-tc-big-fr-zle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Helsinki-NLP/opus-mt-tc-big-fr-zle 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="Helsinki-NLP/opus-mt-tc-big-fr-zle")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-tc-big-fr-zle")
    model = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-tc-big-fr-zle")
  • Notebooks
  • Google Colab
  • Kaggle
opus-mt-tc-big-fr-zle
Ctrl+K
Ctrl+K
  • 4 contributors
History: 1 commit
tiedeman's picture
tiedeman
initial commit
17185e1 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago