Repeated Inferences with pipeline on lambda

Thanks for your response on Q&A question in other issue.
With regard to multiple inferences, is there any precaution to take?

I was hoping that I just just call the model repeatedly in loop.
```
import json
from transformers import pipeline
import requests
question_answerer = pipeline("question-answering")

def handler(event, context):
questionsetList['questionlist']
answerlist = []
for question in questionsetList:
answer = question_answerer({'question':question,'context':event['context']})
answerlist.push(answer)
return jsonify({"Result": answerlist})

```
I got the following error on lambda test event.
START RequestId: b06fd2cb-54df-4807-91c8-34ea7cfb614f Version: $LATEST
OpenBLAS WARNING - could not determine the L2 cache size on this system, assuming 256k
/usr/local/lib/python3.6/dist-packages/joblib/_multiprocessing_helpers.py:45: UserWarning: [Errno 38] Function not implemented. joblib will operate in serial mode
warnings.warn('%s. joblib will operate in serial mode' % (e,))
questions before splitting by ? mark
1. Why are you troubled?~ 2.Who is the person to blame? ~3. How long are you frustrated about this?
Traceback (most recent call last):
File "/usr/lib/python3.6/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.6/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/function/awslambdaric/__main__.py", line 20, in
main(sys.argv)
File "/function/awslambdaric/__main__.py", line 16, in main
bootstrap.run(app_root, handler, lambda_runtime_api_addr)
File "/function/awslambdaric/bootstrap.py", line 415, in run
log_sink,
File "/function/awslambdaric/bootstrap.py", line 171, in handle_event_request
log_error(error_result, log_sink)
File "/function/awslambdaric/bootstrap.py", line 122, in log_error
log_sink.log_error(error_message_lines)
File "/function/awslambdaric/bootstrap.py", line 306, in log_error
sys.stdout.write(error_message)
File "/function/awslambdaric/bootstrap.py", line 283, in write
self.stream.write(msg)
UnicodeEncodeError: 'ascii' codec can't encode characters in position 79-80: ordinal not in range(128)
END RequestId: b06fd2cb-54df-4807-91c8-34ea7cfb614f
REPORT RequestId: b06fd2cb-54df-4807-91c8-34ea7cfb614f Duration: 22056.43 ms Billed Duration: 22057 ms Memory Size: 8096 MB Max Memory Used: 962 MB
RequestId: b06fd2cb-54df-4807-91c8-34ea7cfb614f Error: Runtime exited with error: exit status 1
Runtime.ExitError

It appeared like I can not call the model in a loop. In other implementations without pipeline I had used model in a loop.

Please suggest if there is any specific precaution like clean up required before calling for second question.

Thanks in advance.