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cartesinus
/
iva_mt_wslot-m2m100_418M-en-pl

Transformers
PyTorch
TensorBoard
Safetensors
Polish
English
m2m_100
text2text-generation
machine translation
iva
virtual assistants
natural-language-understanding
nlu
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use cartesinus/iva_mt_wslot-m2m100_418M-en-pl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use cartesinus/iva_mt_wslot-m2m100_418M-en-pl with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("cartesinus/iva_mt_wslot-m2m100_418M-en-pl")
    model = AutoModelForSeq2SeqLM.from_pretrained("cartesinus/iva_mt_wslot-m2m100_418M-en-pl", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
iva_mt_wslot-m2m100_418M-en-pl / runs
30.4 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
cartesinus's picture
cartesinus
End of training
99cd9d6 over 3 years ago
  • Mar09_14-06-42_984a48b3f3d4
    End of training over 3 years ago