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kabelomalapane
/
En-Nso

Translation
Transformers
PyTorch
TensorBoard
marian
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use kabelomalapane/En-Nso with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kabelomalapane/En-Nso 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="kabelomalapane/En-Nso")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kabelomalapane/En-Nso")
    model = AutoModelForSeq2SeqLM.from_pretrained("kabelomalapane/En-Nso")
  • Notebooks
  • Google Colab
  • Kaggle
En-Nso / runs
24.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Kabelo Malapane
Training complete
e017088 almost 4 years ago
  • Jul07_11-59-14_2fa7b13e2e73
    Training in progress, epoch 1 almost 4 years ago
  • Jul07_12-27-26_2fa7b13e2e73
    Training complete almost 4 years ago