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deepset/bert-large-uncased-whole-word-masking-squad2

We present a BERT-based language model called bert-large-uncased-whole-word-masking-squad2, trained on the SQuAD2.0 dataset for extractive question answering. The model achieves high scores on exact match and F1 metrics.

We present a BERT-based language model called bert-large-uncased-whole-word-masking-squad2, trained on the SQuAD2.0 dataset for extractive question answering. The model achieves high scores on exact match and F1 metrics.

Public
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HTTP/cURL API

 

Input fields

questionstring

question relating to context


contextstring

question source material


webhookfile

The webhook to call when inference is done, by default you will get the output in the response of your inference request

Input Schema

Output Schema


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