SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask_finetune
The SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask_finetune model is a machine learning model.
About SEBIS/code_trans_t5_large_source_code_summarization_sql_multitask_finetune
The CodeTrans model is based on the t5-large model architecture . It has its own SentencePiece vocabulary model . It used multi-task training on 13 supervised tasks in the software development domain and 7 unsupervised datasets . It is then fine-tuned on the source code summarization task for the sql code snippets . This model is trained on tokenized sql code functions: it works best with tokenized and untokenized sql functions . The model could be used to generate the description for the function . It can be used on . unparsed and . untokened sql code . However, if the . sql code is tokenized, the performance should be better .,