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enver
/
rootformer-v20.2-mt

Translation
Transformers
Safetensors
Arabic
English
rootformer
arabic
classical-arabic
root-aware
nrmt
leak-free-evaluation
negative-result
Model card Files Files and versions
xet
Community

Instructions to use enver/rootformer-v20.2-mt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use enver/rootformer-v20.2-mt 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="enver/rootformer-v20.2-mt")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("enver/rootformer-v20.2-mt", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
rootformer-v20.2-mt / models
619 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
enver's picture
enver
Rootformer v20.2: Arabic->English leak-free evaluation; root-awareness is inert in both textual and architectural form
dd89885 verified 6 days ago
  • mt_root_model
    Rootformer v20.2: Arabic->English leak-free evaluation; root-awareness is inert in both textual and architectural form 6 days ago
  • mt_subword_model
    Rootformer v20.2: Arabic->English leak-free evaluation; root-awareness is inert in both textual and architectural form 6 days ago