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Wikidepia
/
indobert-lite-squadx

Question Answering
Transformers
PyTorch
Indonesian
albert
Model card Files Files and versions
xet
Community
1

Instructions to use Wikidepia/indobert-lite-squadx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Wikidepia/indobert-lite-squadx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Wikidepia/indobert-lite-squadx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Wikidepia/indobert-lite-squadx")
    model = AutoModelForQuestionAnswering.from_pretrained("Wikidepia/indobert-lite-squadx")
  • Notebooks
  • Google Colab
  • Kaggle
indobert-lite-squadx
44.6 MB
Ctrl+K
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  • 1 contributor
History: 8 commits
Wikidepia's picture
Wikidepia
Update README.md
6b7593e about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    1.67 kB
    Update README.md about 5 years ago
  • all_results.json
    464 Bytes
    Initial models about 5 years ago
  • config.json
    887 Bytes
    Try to use tokenizer_class about 5 years ago
  • pytorch_model.bin
    44.4 MB
    xet
    Initial models about 5 years ago
  • special_tokens_map.json
    112 Bytes
    Initial models about 5 years ago
  • tokenizer_config.json
    397 Bytes
    Initial models about 5 years ago
  • train_results.json
    464 Bytes
    Initial models about 5 years ago
  • trainer_state.json
    2.22 kB
    Initial models about 5 years ago
  • training_args.bin
    2.29 kB
    xet
    Initial models about 5 years ago
  • vocab.txt
    225 kB
    Initial models about 5 years ago