Step 1: Recall the condition for existence of inverse.
A matrix \( A \) is invertible if and only if its determinant is non-zero:
\[
|A| \neq 0.
\]
Step 2: Write the determinant of the matrix.
\[
|A| =
\begin{vmatrix}
0 & 1 & -2
-1 & 0 & 3
2 & -3 & 0
\end{vmatrix}.
\]
Step 3: Expand the determinant.
Using first row expansion:
\[
|A| = 0\begin{vmatrix} 0 & 3 -3 & 0 \end{vmatrix}
-1\begin{vmatrix} -1 & 3 2 & 0 \end{vmatrix}
-2\begin{vmatrix} -1 & 0 2 & -3 \end{vmatrix}.
\]
Step 4: Compute minors.
\[
= -1((-1)(0) - (3)(2)) -2((-1)(-3) - 0).
\]
\[
= -1(0 - 6) -2(3 - 0).
\]
\[
= -1(-6) - 6.
\]
\[
= 6 - 6 = 0.
\]
Step 5: Interpret the result.
Since:
\[
|A| = 0,
\]
the matrix is singular.
Step 6: Conclude about inverse.
A singular matrix does not have an inverse.
Step 7: Final conclusion.
Thus, \( A^{-1} \) does not exist.
Final Answer:
\[
\boxed{\text{doesn't exist}}.
\]