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rg1683
/
hindi_unigram_bert

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

Instructions to use rg1683/hindi_unigram_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rg1683/hindi_unigram_bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="rg1683/hindi_unigram_bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("rg1683/hindi_unigram_bert")
    model = AutoModelForMaskedLM.from_pretrained("rg1683/hindi_unigram_bert")
  • Notebooks
  • Google Colab
  • Kaggle
hindi_unigram_bert
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  • 1 contributor
History: 4 commits
rg1683's picture
rg1683
Upload tokenizer
9722a57 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.17 kB
    Upload BertForMaskedLM almost 2 years ago
  • config.json
    588 Bytes
    Upload BertForMaskedLM almost 2 years ago
  • generation_config.json
    90 Bytes
    Upload BertForMaskedLM almost 2 years ago
  • model.safetensors
    328 MB
    xet
    Upload BertForMaskedLM almost 2 years ago
  • special_tokens_map.json
    970 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    3.67 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.25 kB
    Upload tokenizer almost 2 years ago
  • unigram.json
    3.27 MB
    Upload tokenizer almost 2 years ago