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seba
/
bert-base-minipile-128

Fill-Mask
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use seba/bert-base-minipile-128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use seba/bert-base-minipile-128 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="seba/bert-base-minipile-128")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("seba/bert-base-minipile-128")
    model = AutoModelForMaskedLM.from_pretrained("seba/bert-base-minipile-128", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-minipile-128
439 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 15 commits
seba's picture
seba
Training in progress, step 70000
d0f23f3 about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • config.json
    664 Bytes
    Training in progress, step 5000 about 3 years ago
  • pytorch_model.bin
    438 MB
    xet
    Training in progress, step 70000 about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, step 5000 about 3 years ago
  • tokenizer.json
    711 kB
    Training in progress, step 5000 about 3 years ago
  • tokenizer_config.json
    314 Bytes
    Training in progress, step 5000 about 3 years ago
  • training_args.bin
    4.09 kB
    xet
    Training in progress, step 5000 about 3 years ago
  • vocab.txt
    232 kB
    Training in progress, step 5000 about 3 years ago