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LucasLicht
/
multi-religion-bert

Zero-Shot Classification
Transformers
Safetensors
bert
fill-mask
Model card Files Files and versions
xet
Community

Instructions to use LucasLicht/multi-religion-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LucasLicht/multi-religion-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="LucasLicht/multi-religion-bert")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMaskedLM
    
    tokenizer = AutoTokenizer.from_pretrained("LucasLicht/multi-religion-bert")
    model = AutoModelForMaskedLM.from_pretrained("LucasLicht/multi-religion-bert")
  • Notebooks
  • Google Colab
  • Kaggle
multi-religion-bert
715 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
LucasLicht's picture
LucasLicht
Update README.md
4b2da6c verified 9 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    11.3 kB
    Update README.md 9 days ago
  • config.json
    868 Bytes
    Upload BertForMaskedLM about 1 month ago
  • model.safetensors
    712 MB
    xet
    Upload BertForMaskedLM about 1 month ago
  • tokenizer.json
    2.92 MB
    Upload tokenizer about 1 month ago
  • tokenizer_config.json
    322 Bytes
    Upload tokenizer about 1 month ago