Text Classification
Transformers
PyTorch
bert
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  ## Model description
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- Question type classification model based on multilingual BERT.
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- The question type classifier takes as input the question, and returns a label that distinguishes boolean and extractive questions.
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  The model was initialized with [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) and fine-tuned on the answerable subset of [TyDiQA](https://huggingface.co/datasets/tydiqa) train questions.
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  ## Intended uses & limitations
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- You can use the raw model for question classification. Biases associated with the pre-existing language model, bert-base-multilingual-cased, that we used may be present in our fine-tuned model, tydiqa-boolean-question-classifier.
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  ## Usage
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  ## Model description
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+ A question type classification model based on multilingual BERT.
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+ The question type classifier takes as input the question, and returns a label that distinguishes between boolean and short answer extractive questions.
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  The model was initialized with [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) and fine-tuned on the answerable subset of [TyDiQA](https://huggingface.co/datasets/tydiqa) train questions.
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  ## Intended uses & limitations
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+ You can use the raw model for question classification. Biases associated with the pre-existing language model, bert-base-multilingual-cased, may be present in our fine-tuned model, tydiqa-boolean-question-classifier.
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  ## Usage
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