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remots
/
nllb-mulgi

Transformers
Safetensors
m2m_100
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use remots/nllb-mulgi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use remots/nllb-mulgi with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("remots/nllb-mulgi")
    model = AutoModelForSeq2SeqLM.from_pretrained("remots/nllb-mulgi")
  • Notebooks
  • Google Colab
  • Kaggle
nllb-mulgi
2.49 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 38 commits
remots's picture
remots
Training complete โ€” fresh from nllb-200-distilled-600M, clean data
ac8b21c verified about 2 months ago
  • .gitattributes
    1.57 kB
    Training in progress, epoch 1 2 months ago
  • README.md
    2.51 kB
    Training complete โ€” fresh from nllb-200-distilled-600M, clean data about 2 months ago
  • config.json
    818 Bytes
    Training in progress, epoch 1 2 months ago
  • generation_config.json
    193 Bytes
    Training in progress, epoch 1 2 months ago
  • model.safetensors
    2.46 GB
    xet
    Training in progress, epoch 20 about 2 months ago
  • tokenizer.json
    32.2 MB
    xet
    Add mul_Latn special token (init from est_Latn) 2 months ago
  • tokenizer_config.json
    458 Bytes
    Training in progress, epoch 1 about 2 months ago
  • training_args.bin
    5.05 kB
    xet
    Training in progress, epoch 1 about 2 months ago