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sankhajay
/
bert-base-sinhala-qa

Question Answering
Transformers
PyTorch
Safetensors
bert
Model card Files Files and versions
xet
Community
1

Instructions to use sankhajay/bert-base-sinhala-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sankhajay/bert-base-sinhala-qa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="sankhajay/bert-base-sinhala-qa")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("sankhajay/bert-base-sinhala-qa")
    model = AutoModelForQuestionAnswering.from_pretrained("sankhajay/bert-base-sinhala-qa")
  • Notebooks
  • Google Colab
  • Kaggle
bert-base-sinhala-qa
1.6 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 21 commits
sankhajay's picture
sankhajay
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
e7a13f7 almost 3 years ago
  • .gitattributes
    791 Bytes
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • README.md
    576 Bytes
    Update README.md almost 5 years ago
  • config.json
    794 Bytes
    Update config.json almost 5 years ago
  • model.safetensors
    801 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • pytorch_model.bin
    801 MB
    xet
    add model almost 5 years ago
  • tokenizer_config.json
    135 Bytes
    added tokenizer almost 5 years ago
  • vocab.txt
    1.55 MB
    added vocab file almost 5 years ago