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adhitia17
/
bertest

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

Instructions to use adhitia17/bertest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adhitia17/bertest with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="adhitia17/bertest")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("adhitia17/bertest")
    model = AutoModelForMaskedLM.from_pretrained("adhitia17/bertest")
  • Notebooks
  • Google Colab
  • Kaggle
bertest
328 MB
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  • 1 contributor
History: 3 commits
adhitia17's picture
adhitia17
Upload tokenizer
d254c2a verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload BertForMaskedLM over 1 year ago
  • config.json
    619 Bytes
    Upload BertForMaskedLM over 1 year ago
  • generation_config.json
    90 Bytes
    Upload BertForMaskedLM over 1 year ago
  • model.safetensors
    328 MB
    xet
    Upload BertForMaskedLM over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer over 1 year ago
  • tokenizer_config.json
    1.29 kB
    Upload tokenizer over 1 year ago
  • vocab.txt
    293 kB
    Upload tokenizer over 1 year ago