added colab URL to profiling readme

tools/profiling/Readme.md

@@ -4,7 +4,7 @@ _Recognition performance aside, are we real-time?_
 
 Among the tools out there, PyTorch offers its profiler to benchmark computational time and memory demands.
 SpeechBrain wraps this profiler into `@profile`, `@profile_optimiser`, `@profile_analyst`, and `@profile_report` decorators.
-While our [tutorial](colab-url) suggests how to use them, this recipe helps to figure out a guiding estimate (take it on nominal level) for inference with pretrained models regarding:
+While our [tutorial](https://colab.research.google.com/drive/1X9eeAEy19BgEJX4YZWjo1Huku_8cOUGJ?usp=sharing) suggests how to use them, this recipe helps to figure out a guiding estimate (take it on nominal level) for inference with pretrained models regarding:
 * real-time factor
 * peak memory
 
@@ -211,4 +211,4 @@ Please, cite SpeechBrain if you use it for your research or business.
   primaryClass={eess.AS},
   note={arXiv:2106.04624}
 }
-```
+```