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jwouts
/
belabBERT_115k

Fill-Mask
Transformers
PyTorch
google-tensorflow TensorFlow
JAX
Dutch
roberta
dutch
RoBERTa
belabBERT
Model card Files Files and versions
xet
Community

Instructions to use jwouts/belabBERT_115k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jwouts/belabBERT_115k with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="jwouts/belabBERT_115k")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("jwouts/belabBERT_115k")
    model = AutoModelForMaskedLM.from_pretrained("jwouts/belabBERT_115k")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    391 Bytes
    allow flax about 5 years ago
  • README.md
    234 Bytes
    Added some tags for searchability about 3 years ago
  • config.json
    516 Bytes
    Update config.json almost 6 years ago
  • flax_model.msgpack
    498 MB
    xet
    upload flax model about 5 years ago
  • merges.txt
    486 kB
    Update merges.txt almost 6 years ago
  • pytorch_model.bin
    500 MB
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  • special_tokens_map.json
    772 Bytes
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  • tf_model.h5
    656 MB
    xet
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  • tokenizer_config.json
    78 Bytes
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  • vocab.json
    926 kB
    Update vocab.json almost 6 years ago