'Getting standardized (beta) coefficients from StandardScaler()

I have a model that is normalized using StandardScaler. I need to get the beta coefficients from the coefficients that the model.coef_ stores. I've seen varying things online on if the coefficients that are derived as a result of the StandardScaler are already beta coefficients or not. Any explanation would be greatly appreciated!

'''

        scaler = StandardScaler()
        scaler.fit(X[feat_num])

        X_train = scale_numeric(
                X[feat_cat + feat_num].copy().reset_index(drop=True),
                scaler,
                feat_num
            )
        y_train = np.log(X["opg_bo"]).reset_index(drop=True)
        
        
        model = LinearRegression()
        model.fit(X_train,y_train)
        
        model.coef_ #Im not sure if these are the beta coefficients or not...

'''

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'Getting standardized (beta) coefficients from StandardScaler()

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