SEBIS/code_trans_t5_small_code_documentation_generation_python

The CodeTrans model is based on the t5-small 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, if the python code is tokenized, the performance should be better . 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 based on different programming languages (in BLEU,