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voidful
/
question-answering-zh

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

Instructions to use voidful/question-answering-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/question-answering-zh with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="voidful/question-answering-zh")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("voidful/question-answering-zh")
    model = AutoModelForQuestionAnswering.from_pretrained("voidful/question-answering-zh")
  • Notebooks
  • Google Colab
  • Kaggle
question-answering-zh
1.22 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 5 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
837fbeb about 3 years ago
  • .gitattributes
    790 Bytes
    Adding `safetensors` variant of this model about 3 years ago
  • .gitignore
    4.12 kB
    init commit about 5 years ago
  • config.json
    708 Bytes
    init commit about 5 years ago
  • flax_model.msgpack
    407 MB
    xet
    upload flax model about 5 years ago
  • model.safetensors
    407 MB
    xet
    Adding `safetensors` variant of this model about 3 years ago
  • pytorch_model.bin
    407 MB
    xet
    init commit about 5 years ago
  • special_tokens_map.json
    112 Bytes
    init commit about 5 years ago
  • tokenizer_config.json
    301 Bytes
    init commit about 5 years ago
  • vocab.txt
    110 kB
    init commit about 5 years ago