  We investigate bootstrap percolation with infection threshold $r> 1$ on the
binomial $k$-uniform random hypergraph $H_k(n,p)$ in the regime $n^{-1}\ll
n^{k-2}p \ll n^{-1/r}$, when the initial set of infected vertices is chosen
uniformly at random from all sets of given size. We establish a threshold such
that if there are less vertices in the initial set of infected vertices, then
whp only a few additional vertices become infected, while if the initial set of
infected vertices exceeds the threshold then whp almost every vertex becomes
infected. In addition, for $k=2$, we show that the probability of failure
decreases exponentially.
