SEBIS/code_trans_t5_base_source_code_summarization_python

The CodeTrans model is based on the t5-base model architecture . It has its own SentencePiece vocabulary model . It can be used on unparsed and untokenized python code . The model could be used to generate the description for the python function or be fine-tuned on other python code tasks . It works best with tokenized python functions, but the performance should be better if the python code is tokenized . For example, this is how to use this model to generate python function documentation using Transformers SummarizationPipeline . The supervised training tasks datasets can be downloaded on Link.evaluation results are available for the best evaluation results on different programming languages,