mirror of https://github.com/hpcaitech/ColossalAI
aibig-modeldata-parallelismdeep-learningdistributed-computingfoundation-modelsheterogeneous-traininghpcinferencelarge-scalemodel-parallelismpipeline-parallelism
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27 lines
1.0 KiB
27 lines
1.0 KiB
import argparse |
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from colossalqa.retrieval_conversation_universal import UniversalRetrievalConversation |
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if __name__ == "__main__": |
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# Parse arguments |
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parser = argparse.ArgumentParser() |
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parser.add_argument("--en_model_path", type=str, default=None) |
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parser.add_argument("--zh_model_path", type=str, default=None) |
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parser.add_argument("--zh_model_name", type=str, default=None) |
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parser.add_argument("--en_model_name", type=str, default=None) |
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parser.add_argument( |
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"--sql_file_path", type=str, default=None, help="path to the a empty folder for storing sql files for indexing" |
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) |
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args = parser.parse_args() |
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# Will ask for documents path in running time |
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session = UniversalRetrievalConversation( |
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files_en=None, |
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files_zh=None, |
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zh_model_path=args.zh_model_path, |
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en_model_path=args.en_model_path, |
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zh_model_name=args.zh_model_name, |
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en_model_name=args.en_model_name, |
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sql_file_path=args.sql_file_path, |
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) |
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session.start_test_session()
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