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MoseliMotsoehli
/
zuBERTa

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Zulu
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use MoseliMotsoehli/zuBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MoseliMotsoehli/zuBERTa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="MoseliMotsoehli/zuBERTa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("MoseliMotsoehli/zuBERTa")
    model = AutoModelForMaskedLM.from_pretrained("MoseliMotsoehli/zuBERTa")
  • Notebooks
  • Google Colab
  • Kaggle
zuBERTa
923 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 11 commits
patrickvonplaten's picture
patrickvonplaten
upload flax model
1b62500 about 5 years ago
  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    1.78 kB
    Migrate model card from transformers-repo over 5 years ago
  • config.json
    515 Bytes
    Update config.json almost 6 years ago
  • flax_model.msgpack
    273 MB
    xet
    upload flax model about 5 years ago
  • merges.txt
    307 kB
    Update merges.txt almost 6 years ago
  • pytorch_model.bin
    275 MB
    xet
    Update pytorch_model.bin almost 6 years ago
  • special_tokens_map.json
    239 Bytes
    Update special_tokens_map.json almost 6 years ago
  • tf_model.h5
    375 MB
    xet
    Update tf_model.h5 almost 6 years ago
  • tokenizer_config.json
    78 Bytes
    Update tokenizer_config.json almost 6 years ago
  • vocab.json
    521 kB
    Update vocab.json almost 6 years ago