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- # PubMedBERT Abstract + Full Text Fine-Tuned on QNLI Task
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  Link to the original model: https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
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  Credits to the paper:
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  > @misc{pubmedbert, author = {Yu Gu and Robert Tinn and Hao Cheng and
 
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+ \n# PubMedBERT Abstract + Full Text Fine-Tuned on QNLI Task
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+ Use case: You can use it to search through a document for a given question, to see if your question is answered in that document.
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+ LABEL0 is "not entailment" meaning your question is not answered by the context and LABEL1 is "entailment" meaning your question is answered.
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+ > Example input: [CLS] Your question [SEP] The context to be searched in [SEP]
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  Link to the original model: https://huggingface.co/microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext
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  Credits to the paper:
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  > @misc{pubmedbert, author = {Yu Gu and Robert Tinn and Hao Cheng and