[guided]The purpose of this step is to identify the cocycle of $\Lambda^r E$ in the frames induced from the original frames of $E$. For each $i \in I$, the local frame $e_i = (e_{i,1},\dots,e_{i,r})$ of $E$ over $U_i$ determines a local holomorphic frame
\begin{align*}
s_i: U_i \to \Lambda^r E
\end{align*}
by
\begin{align*}
s_i(x) = e_{i,1}(x) \wedge \cdots \wedge e_{i,r}(x).
\end{align*}
This is a frame because $e_{i,1}(x),\dots,e_{i,r}(x)$ form a basis of the fiber $E_x$, and the top exterior power $\Lambda^r E_x$ is one-dimensional with basis $e_{i,1}(x) \wedge \cdots \wedge e_{i,r}(x)$.
Now fix $i,j \in I$ and a point $x \in U_i \cap U_j$. The convention in the theorem is $e_j = e_i g_{ij}$. Writing $(g_{ij})_{ab}: U_i \cap U_j \to \mathbb{C}$ for the $(a,b)$ entry of the transition matrix, this means
\begin{align*}
e_{j,b}(x) = \sum_{a=1}^r e_{i,a}(x)(g_{ij})_{ab}(x)
\end{align*}
for each column index $b \in \{1,\dots,r\}$. We now wedge these $r$ equations together. Multilinearity of the exterior product expands the wedge as a sum over all choices of one row index for each column. Alternation kills every term in which two row indices are equal, because then two equal basis vectors $e_{i,a}(x)$ appear in the wedge. The surviving terms are exactly the terms indexed by permutations of $\{1,\dots,r\}$, and their signed sum is the determinant of $g_{ij}(x)$. Hence
\begin{align*}
e_{j,1}(x) \wedge \cdots \wedge e_{j,r}(x) = \det(g_{ij}(x)) e_{i,1}(x) \wedge \cdots \wedge e_{i,r}(x).
\end{align*}
Since $h_{ij}(x)$ was defined to be $\det(g_{ij}(x))$, this becomes
\begin{align*}
s_j(x) = h_{ij}(x)s_i(x).
\end{align*}
Thus the transition function of $\Lambda^r E$ from the frame $s_j$ to the frame $s_i$ is exactly $h_{ij}$.[/guided]