from transformers import pipeline

def squeezebert(context, question):
    # Define the specific model and tokenizer for SqueezeBERT
    model_name = "ALOQAS/squeezebert-uncased-finetuned-squad-v2"
    pip = pipeline('question-answering', model=model_name, tokenizer=model_name)
    return pip(context=context, question=question)

def bert(context, question):
    # Define the specific model and tokenizer for BERT
    model_name = "ALOQAS/bert-large-uncased-finetuned-squad-v2"
    pip = pipeline('question-answering', model=model_name, tokenizer=model_name)
    return pip(context=context, question=question)

def deberta(context, question):
    # Define the specific model and tokenizer for DeBERTa
    model_name = "ALOQAS/deberta-large-finetuned-squad-v2"
    pip = pipeline('question-answering', model=model_name, tokenizer=model_name)
    return pip(context=context, question=question)