language:

tags:

datasets:

metrics:

pipeline_tag: question-answering

widget:



from transformers import pipeline

model_checkpoint = "aicryptogroup/distill-xlm-mrc"

nlp = pipeline('question-answering', model=model_checkpoint,

                   tokenizer=model_checkpoint)

QA_input = {

  'question': "what is the capital of Vietnam",

  'context': "Keeping an ageless charm through centuries, Hanoi - the capital of Vietnam is famous not only for the Old Quarter with narrow and crowded streets but also for the nostalgic feeling that it brings. While Saigon is a young and modern city, the ancient Hanoi is still a true beholder of history."

}

res = nlp(QA_input)

print('pipeline: {}'.format(res))