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NbAiLab
/
nb-roberta-tpu

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

Instructions to use NbAiLab/nb-roberta-tpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NbAiLab/nb-roberta-tpu with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="NbAiLab/nb-roberta-tpu")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("NbAiLab/nb-roberta-tpu")
    model = AutoModelForMaskedLM.from_pretrained("NbAiLab/nb-roberta-tpu")
  • Notebooks
  • Google Colab
  • Kaggle
nb-roberta-tpu
14.2 MB
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  • 1 contributor
History: 43 commits
pere's picture
pere
Update README.md
6f7802b over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    3.09 kB
    Update README.md over 3 years ago
  • config.json
    693 Bytes
    config over 3 years ago
  • config_base.json
    693 Bytes
    tputest over 3 years ago
  • run_mlm_flax_stream_tpunew.py
    28.3 kB
    test over 3 years ago
  • run_mlm_flax_stream_tpuold.py
    27.9 kB
    test over 3 years ago
  • run_nb_roberta_base_scandi_tpunew.sh
    774 Bytes
    test over 3 years ago
  • run_nb_roberta_base_scandi_tpunew128.sh
    780 Bytes
    test over 3 years ago
  • run_nb_roberta_base_scandi_tpunew64.sh
    778 Bytes
    reduce eval bs over 3 years ago
  • run_nb_roberta_base_scandi_tpunew8.sh
    776 Bytes
    test over 3 years ago
  • run_nb_roberta_base_scandi_tpuold.sh
    774 Bytes
    test over 3 years ago
  • sentencepiece.bpe.model
    5.07 MB
    xet
    tputest over 3 years ago
  • tokenizer.json
    9.1 MB
    tputest over 3 years ago