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jd445
/
2019

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

Instructions to use jd445/2019 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jd445/2019 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="jd445/2019")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("jd445/2019")
    model = AutoModelForMaskedLM.from_pretrained("jd445/2019")
  • Notebooks
  • Google Colab
  • Kaggle
2019
508 MB
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  • 1 contributor
History: 2 commits
jd445's picture
jd445
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751e9da verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • added_tokens.json
    94 Bytes
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  • config.json
    696 Bytes
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  • model.safetensors
    508 MB
    xet
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  • special_tokens_map.json
    125 Bytes
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  • tokenizer_config.json
    1.29 kB
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  • vocab.txt
    431 kB
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