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非常感谢反馈,我们暂时不支持 nezha, roformer的 relative position embedding,为了方便用户使用,我们尽力融入transformers和fairseq社区,如果你的模型结构不一样的话可以通过参考修改eet/transformers中的文件通过op level的APIs,将Embedding改成你需要的relative position embedding,其他模块修改权重名即可。
请问支持 relative position embedding 类似 nezha, roformer ,如果是roformer,是不是需要将模型的参数名称改为和Bert一样才能使用
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