Issue with Transformers for conversion of Smart contract to vector

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Iam new to machine learning, started learning it two months ago, I am trying to working on a project of converting a smart contract to a vector by applying NLP transformers, I have tried word embedding and positional embedding on natural languages, but after that Iam having problem with calculating the weight of Keys, Queries and values for multi head attention layers, also could anyone provide a code of similar context .

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