ValueError                                Traceback (most recent call last)
<ipython-input-6-f4597162a5e8> in <module>
     11 # prediction = finder.get_answers(question="What is the 997 GT3 0-100 acceleration?", top_k_retriever=20, top_k_reader=5)
     12 # prediction = finder.get_answers(question="When was the 944 first produced?", top_k_retriever=20, top_k_reader=3)
---> 13 prediction = finder.get_answers(question="When was the 944 produced?", top_k_retriever=20, top_k_reader=3)
     14 
     15 print_answers(prediction,) # details="minimal")

/media/dn/dssd/nlp/haystack/haystack/__init__.py in get_answers(self, question, top_k_reader, top_k_retriever, filters)
     49                                       paragrahps=paragraphs,
     50                                       meta_data_paragraphs=meta_data,
---> 51                                       top_k=top_k_reader)
     52 
     53         return results

/media/dn/dssd/nlp/haystack/haystack/reader/transformers.py in predict(self, question, paragrahps, meta_data_paragraphs, top_k)
     79         for p in paragrahps:
     80             query = {"context": p, "question": question}
---> 81             predictions = self.model(query, topk=self.n_best_per_passage)
     82             # assemble and format all answers
     83             for pred in predictions:

~/anaconda3/envs/nlpu/lib/python3.7/site-packages/transformers/pipelines.py in __call__(self, *texts, **kwargs)
    812                         # Retrieve the score for the context tokens only (removing question tokens)
    813                         fw_args = {k: torch.tensor(v, device=self.device) for (k, v) in fw_args.items()}
--> 814                         start, end = self.model(**fw_args)
    815                         start, end = start.cpu().numpy(), end.cpu().numpy()
    816 

ValueError: too many values to unpack (expected 2)