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Xenova
/
bert-base-cased_web

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

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

  • Libraries
  • Transformers

    How to use Xenova/bert-base-cased_web with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="Xenova/bert-base-cased_web")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("Xenova/bert-base-cased_web")
    model = AutoModelForMaskedLM.from_pretrained("Xenova/bert-base-cased_web")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-cased_web
133 MB
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  • 2 contributors
History: 2 commits
Xenova's picture
Xenova HF Staff
Upload 6 files
476a5ab about 3 years ago
  • onnx
    Upload 6 files about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    634 Bytes
    Upload 6 files about 3 years ago
  • special_tokens_map.json
    125 Bytes
    Upload 6 files about 3 years ago
  • tokenizer.json
    669 kB
    Upload 6 files about 3 years ago
  • tokenizer_config.json
    347 Bytes
    Upload 6 files about 3 years ago
  • vocab.txt
    213 kB
    Upload 6 files about 3 years ago