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UWB-AIR
/
Czert-B-base-cased

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
bert
pretraining
cs
Model card Files Files and versions
xet
Community
1

Instructions to use UWB-AIR/Czert-B-base-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use UWB-AIR/Czert-B-base-cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="UWB-AIR/Czert-B-base-cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForPreTraining
    
    tokenizer = AutoTokenizer.from_pretrained("UWB-AIR/Czert-B-base-cased")
    model = AutoModelForPreTraining.from_pretrained("UWB-AIR/Czert-B-base-cased", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Czert-B-base-cased
977 MB
Ctrl+K
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  • 2 contributors
History: 24 commits
ondfa's picture
ondfa
torch model added
93c1b4e over 4 years ago
  • .gitattributes
    782 Bytes
    allow flax over 5 years ago
  • README.md
    9.7 kB
    Update README.md over 4 years ago
  • config.json
    675 Bytes
    torch model added over 4 years ago
  • pytorch_model.bin
    441 MB
    xet
    torch model added over 4 years ago
  • special_tokens_map.json
    112 Bytes
    model files added over 5 years ago
  • tf_model.h5
    536 MB
    xet
    tf model added over 4 years ago
  • tokenizer_config.json
    161 Bytes
    tokenizer config fixed over 5 years ago
  • vocab.txt
    214 kB
    model files added over 5 years ago