对比下 T5 原文,可以发现二者的核心思想还是非常类似的,作者将 CodeT5 归纳为 a pre-trained encoder-decoder model that considers the token type information in code,细心的玩家可能发现了,前面提到的 CodeBERT 为首的 BERT 类模型和 CodeGPT 为首的 GPT 类模型,仅含有 Encoder 或 Decoder,而非完整利用一个 ...
"Some weights of the model checkpoint at bigcode/starencoder were not used when initializing BertModel: ['cls.seq_relationship.bias', 'cls.predictions.transform.dense.bias', 'cls.predictions.transform.LayerNorm.weight', 'cls.seq_relationship.weight', 'cls.predictions.decoder.weight', 'cls.predic...
对比下 T5 原文,可以发现二者的核心思想还是非常类似的,作者将 CodeT5 归纳为 a pre-trained encoder-decoder model that considers the token type information in code,细心的玩家可能发现了,前面提到的 CodeBERT 为首的 BERT 类模型和 CodeGPT 为首的 GPT 类模型,仅含有 Encoder 或 Decoder,而非完整利用一个 ...
Examples of such models include CodeBERT (Feng et al., 2020), GraphCodeBERT (Guo et al., 2021), PLBART (Ahmad et al., 2021), or CodeT5 (Wang et al., 2021) (Mastropaolo et al., 2021). As GPTSniffer is based on CodeBERT, in the following we discuss recent work based on such ...