SEBIS/code_trans_t5_large_code_documentation_generation_ruby_multitask

The CodeTrans model is based on the t5-large model architecture . It has its own SentencePiece vocabulary model . The model is trained on tokenized ruby code functions . It could be used to generate the description for the ruby function or be fine-tuned on other ruby code tasks . It can be used on unparsed and untokenized ruby codes, but the performance should be better if the ruby code is tokenized . Run this example in colab notebook to generate ruby function documentation using Transformers SummarizationPipeline . For the code documentation tasks, different models achieves the following results on different programming languages (in BLEU score): The models achieve the following,