fine_tuned_deberta_question_answering

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• Developed by: seenuvasan T
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• Model type: Deberta
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from transformers import DebertaV2Tokenizer, DebertaV2ForQuestionAnswering

model_path = "fine_tuned_deberta_question_answering"

model = DebertaV2ForQuestionAnswering.from_pretrained(model_path,ignore_mismatched_sizes=True)

tokenizer = DebertaV2Tokenizer.from_pretrained(model_path)

nlp = pipeline('question-answering', model=model_name, tokenizer=model_name) QA_input = { 'question': 'What is DeBERTa?', 'context': 'The DeBERTa model is a powerful language understanding model.' } res = nlp(QA_input) print(res)

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