Updated the model and added a Readme file. #43
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In the original answer.py (which is present in the mgmt590-lec1 repository), "distilbert-base-uncased-distilled-squad" model was used for the Question Answering pipeline problem. In the new code, I've updated the model from the above one to "mrm8488/bert-multi-cased-finetuned-xquadv1." This model was created by Google and fine-tuned on XQuAD like data for multilingual (11 different languages) Q&A downstream task. Additionally, I have added a Readme file describing what's the code about.
Also, I'm getting a different output, which is incorrect by using this new model.
Please find the answers from both the models in the attached excel sheet.
Git_Assignment_Answers.xlsx