Link to `torchrun_jsc` repo

README.md

@@ -154,14 +154,16 @@ handling ([see here for more
 information](https://github.com/pytorch/pytorch/issues/73656)).
 Thankfully, there are options to fix these issues:
 
-1. Use wrappers, such as `torchrun_jsc`. <!-- For PyTorch ≥2, this
-   wrapper is minimally intrusive and does not change underlying
-   PyTorch code. Instead, it adds some extra argument configurations
-   to solve the aforementioned issues. For PyTorch <2, it instead -->
-   It modifies the underlying code on-the-fly to fix the issues.
-   `torchrun_jsc`/`python -m torchrun_jsc` is a drop-in replacement
-   for `torchrun`/`python -m torch.distributed.run` and can be
-   installed via `pip`: `python -m pip install torchrun_jsc`.
+1. Use wrappers, such as
+   [`torchrun_jsc`](https://github.com/HelmholtzAI-FZJ/torchrun_jsc).
+   <!-- For PyTorch ≥2, this wrapper is minimally intrusive and does
+   not change underlying PyTorch code. Instead, it adds some extra
+   argument configurations to solve the aforementioned issues. For
+   PyTorch <2, it instead --> It modifies the underlying code
+   on-the-fly to fix the issues. `torchrun_jsc`/`python -m
+   torchrun_jsc` is a drop-in replacement for `torchrun`/`python -m
+   torch.distributed.run` and can be installed via `pip`: `python -m
+   pip install torchrun_jsc`.
 2. Use PyTorch as provided by the module system. We include patches to
    ensure that the errors in `torchrun` are fixed and that it reliably
    works on our system.