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xlnet-base-squadv2

Question Answering Transformers PyTorch xlnet Inference Endpoints
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Oh Joon Kwon commited on
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Updated README

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  | **EM** | **78.46** | **75.68** (-2.78) |
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  | **F1** | **81.33** | **79.16** (-2.17)|
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- Better fine-tuned models coming soon.
 
 
 
 
 
 
 
 
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  | **EM** | **78.46** | **75.68** (-2.78) |
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  | **F1** | **81.33** | **79.16** (-2.17)|
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+ Better fine-tuned models coming soon.
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+
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+ ## How to Use
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+ ```
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+ from transformers import XLNetForQuestionAnswering, XLNetTokenizerFast
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+
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+ model = XLNetForQuestionAnswering.from_pretrained('jkgrad/xlnet-base-squadv2)
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+ tokenizer = XLNetTokenizerFast.from_pretrained('jkgrad/xlnet-base-squadv2')
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+ ```