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ckuma
/
lugbara-ensemble-translator

Translation
Transformers
Safetensors
English
Ganda
Lugbara
lugbara
luganda
low-resource
uganda
muni-university
ensemble
fusion
Model card Files Files and versions
xet
Community

Instructions to use ckuma/lugbara-ensemble-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ckuma/lugbara-ensemble-translator 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="ckuma/lugbara-ensemble-translator")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ckuma/lugbara-ensemble-translator", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
lugbara-ensemble-translator / mt5
2.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
cakuma's picture
cakuma
XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models)
c61a87b verified 9 days ago
  • config.json
    783 Bytes
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago
  • generation_config.json
    207 Bytes
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago
  • model.safetensors
    2.33 GB
    xet
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago
  • special_tokens_map.json
    416 Bytes
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago
  • spiece.model
    4.31 MB
    xet
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago
  • tokenizer.json
    16.4 MB
    xet
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago
  • tokenizer_config.json
    19.3 kB
    XLM-R + mT5 fusion translator trained on SALT (Akuma 2025 models) 9 days ago