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versae
/
xlm-roberta-base-ncc-zero

Fill-Mask
Transformers
xlm-roberta
Model card Files Files and versions
xet
Community

Instructions to use versae/xlm-roberta-base-ncc-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use versae/xlm-roberta-base-ncc-zero with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="versae/xlm-roberta-base-ncc-zero")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("versae/xlm-roberta-base-ncc-zero")
    model = AutoModelForMaskedLM.from_pretrained("versae/xlm-roberta-base-ncc-zero")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base-ncc-zero
5.11 MB
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  • 1 contributor
History: 3 commits
versae's picture
versae
Init
bb4af28 over 3 years ago
  • .gitattributes
    1.43 kB
    initial commit over 3 years ago
  • README.md
    26 Bytes
    initial commit over 3 years ago
  • config.json
    640 Bytes
    Init over 3 years ago
  • create_config.py
    270 Bytes
    Init over 3 years ago
  • create_pytorch.py
    106 Bytes
    Init over 3 years ago
  • run.sh
    681 Bytes
    Init over 3 years ago
  • run_mlm_flax.py
    39.3 kB
    Init over 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    Init over 3 years ago
  • special_tokens_map.json
    279 Bytes
    Init over 3 years ago
  • tokenizer_config.json
    476 Bytes
    Init over 3 years ago