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KMayanja
/
nllb-600M-medical-luganda-bidirectional

PEFT
Safetensors
Transformers
lora
Model card Files Files and versions
xet
Community

Instructions to use KMayanja/nllb-600M-medical-luganda-bidirectional with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use KMayanja/nllb-600M-medical-luganda-bidirectional with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForSeq2SeqLM
    
    base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M")
    model = PeftModel.from_pretrained(base_model, "KMayanja/nllb-600M-medical-luganda-bidirectional")
  • Transformers

    How to use KMayanja/nllb-600M-medical-luganda-bidirectional with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("KMayanja/nllb-600M-medical-luganda-bidirectional", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
nllb-600M-medical-luganda-bidirectional
65.5 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
KMayanja's picture
KMayanja
End of training
b17bde3 verified 9 months ago
  • .gitattributes
    1.57 kB
    Training in progress, step 800 9 months ago
  • README.md
    2.52 kB
    End of training 9 months ago
  • adapter_config.json
    947 Bytes
    Training in progress, step 800 9 months ago
  • adapter_model.safetensors
    28.3 MB
    xet
    End of training 9 months ago
  • sentencepiece.bpe.model
    4.85 MB
    xet
    Training in progress, step 800 9 months ago
  • special_tokens_map.json
    4.23 kB
    Training in progress, step 800 9 months ago
  • tokenizer.json
    32.2 MB
    xet
    Training in progress, step 800 9 months ago
  • tokenizer_config.json
    39.9 kB
    Training in progress, step 800 9 months ago
  • training_args.bin
    6.03 kB
    xet
    Training in progress, step 800 9 months ago