Anshoo Mehra
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README.md
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# Question Answering
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The model is intended to be used for Q&A task, given the question & context, the model would attempt to infer the answer text, answer span & confidence score
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Model is encoder-only (roberta-base) with QuestionAnswering LM Head, fine-tuned on SQUADx dataset with **exact_match:** 86.14 & **f1:** 92.330 performance scores.
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Example code:
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```
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from transformers import pipeline
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# Question Answering
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The model is intended to be used for Q&A task, given the question & context, the model would attempt to infer the answer text, answer span & confidence score.<br>
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Model is encoder-only (roberta-base) with QuestionAnswering LM Head, fine-tuned on SQUADx dataset with **exact_match:** 86.14 & **f1:** 92.330 performance scores.
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Please follow this link for [Generative Question Answering](https://huggingface.co/anshoomehra/question-answering-generative-t5-v1-base-s-q-c/edit/main/README.md)
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Example code:
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```
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from transformers import pipeline
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