Salesforce/qaconv-roberta-large-squad2

from transformers import AutoModelForQuestionAnswering, AutoTokenizer

model_name = 'Salesforce/qaconv-roberta-large-squad2'
model = AutoModelForQuestionAnswering.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

def answer_question(question, context):
    inputs = tokenizer.encode_plus(question, context, add_special_tokens=True, return_tensors='pt')
    input_ids = inputs['input_ids'].tolist()[0]

    outputs = model(**inputs)
    answer_start = torch.argmax(outputs.start_logits)
    answer_end = torch.argmax(outputs.end_logits) + 1

    answer = tokenizer.convert_tokens_to_ids(input_ids[answer_start:answer_end])
    return tokenizer.decode(answer)

context = 'Mi nombre es Wolfgang y yo vivo en Berlín'
question = '¿Dónde vivo?'
print(answer_question(question, context))