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raygx
/
NepaliLM-BERT

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

Instructions to use raygx/NepaliLM-BERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use raygx/NepaliLM-BERT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="raygx/NepaliLM-BERT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("raygx/NepaliLM-BERT")
    model = AutoModelForMaskedLM.from_pretrained("raygx/NepaliLM-BERT")
  • Notebooks
  • Google Colab
  • Kaggle
NepaliLM-BERT
657 MB
Ctrl+K
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  • 1 contributor
History: 9 commits
raygx's picture
raygx
Upload tokenizer
e08e16f over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.66 kB
    Upload TFBertForMaskedLM over 2 years ago
  • config.json
    657 Bytes
    Upload TFBertForMaskedLM over 2 years ago
  • special_tokens_map.json
    125 Bytes
    Upload tokenizer almost 3 years ago
  • tf_model.h5
    653 MB
    xet
    Upload TFBertForMaskedLM over 2 years ago
  • tokenizer.json
    3.06 MB
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    118 Bytes
    Upload tokenizer almost 3 years ago