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@@ -18,7 +18,7 @@ This is the single-dataset adapter for the SQuAD partition of the MRQA 2019 Shar
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  The UKP-SQuARE team created this model repository to simplify the deployment of this model on the UKP-SQuARE platform. The GitHub repository of the original authors is https://github.com/princeton-nlp/MADE
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  # Usage
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- This model contains the same weights as https://huggingface.co/princeton-nlp/MADE/resolve/main/single_dataset_adapters/HotpotQA/model.pt. The only difference is that our repository follows the standard format of AdapterHub. Therefore, you could load this model as follows:
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  ```
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  from transformers import RobertaForQuestionAnswering, RobertaTokenizerFast
 
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  The UKP-SQuARE team created this model repository to simplify the deployment of this model on the UKP-SQuARE platform. The GitHub repository of the original authors is https://github.com/princeton-nlp/MADE
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  # Usage
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+ This model contains the same weights as https://huggingface.co/princeton-nlp/MADE/resolve/main/single_dataset_adapters/SQuAD/model.pt. The only difference is that our repository follows the standard format of AdapterHub. Therefore, you could load this model as follows:
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  ```
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  from transformers import RobertaForQuestionAnswering, RobertaTokenizerFast