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santoshdahal
/
setu

Translation
Transformers
ONNX
Nepali
English
setu_translation
feature-extraction
nepali
english
multilingual
code-mixed
romanized
devanagari
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use santoshdahal/setu 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="santoshdahal/setu", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("santoshdahal/setu", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
setu
380 MB
Ctrl+K
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  • 1 contributor
History: 14 commits
santoshdahal's picture
santoshdahal
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  • __pycache__
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  • assets
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  • .gitattributes
    1.52 kB
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  • README.md
    3.14 kB
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  • __init__.py
    1.08 kB
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  • config.json
    875 Bytes
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  • configuration_setu_translation.py
    1.99 kB
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  • model_config.json
    574 Bytes
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  • modeling_setu_translation.py
    13 kB
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  • requirements.txt
    114 Bytes
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