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AIaLT-IICT
/
bert_bg_lit_web_base_cased

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

Instructions to use AIaLT-IICT/bert_bg_lit_web_base_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AIaLT-IICT/bert_bg_lit_web_base_cased with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("fill-mask", model="AIaLT-IICT/bert_bg_lit_web_base_cased")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("AIaLT-IICT/bert_bg_lit_web_base_cased")
    model = AutoModelForMaskedLM.from_pretrained("AIaLT-IICT/bert_bg_lit_web_base_cased")
  • Notebooks
  • Google Colab
  • Kaggle
bert_bg_lit_web_base_cased
500 MB
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  • 1 contributor
History: 4 commits
npaev's picture
npaev
Update README.md
8e73c03 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    5.53 kB
    Update README.md 7 months ago
  • config.json
    679 Bytes
    Upload BertForMaskedLM 7 months ago
  • model.safetensors
    499 MB
    xet
    Upload BertForMaskedLM 7 months ago
  • special_tokens_map.json
    695 Bytes
    Upload tokenizer 7 months ago
  • tokenizer.json
    1.38 MB
    Upload tokenizer 7 months ago
  • tokenizer_config.json
    1.33 kB
    Upload tokenizer 7 months ago