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fimu-docproc-research
/
mbert-finetuned

Fill-Mask
Transformers
google-tensorflow TensorFlow
bert
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use fimu-docproc-research/mbert-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fimu-docproc-research/mbert-finetuned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="fimu-docproc-research/mbert-finetuned")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("fimu-docproc-research/mbert-finetuned")
    model = AutoModelForMaskedLM.from_pretrained("fimu-docproc-research/mbert-finetuned")
  • Notebooks
  • Google Colab
  • Kaggle
mbert-finetuned
1.08 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
xmelus's picture
xmelus
Create README.md
b4ef3e0 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • README.md
    3.51 kB
    Create README.md over 3 years ago
  • config.json
    804 Bytes
    small files over 3 years ago
  • special_tokens_map.json
    125 Bytes
    small files over 3 years ago
  • tf_model.h5
    1.08 GB
    xet
    model over 3 years ago
  • tokenizer.json
    2.92 MB
    small files over 3 years ago
  • tokenizer_config.json
    360 Bytes
    small files over 3 years ago
  • vocab.txt
    996 kB
    small files over 3 years ago