fix: Adjust lines in snippet

docs/tutorials/huggingface.md

@@ -53,12 +53,8 @@ We also use `nnbench.parametrize` to get the per-class metrics.
 As the parametrization method needs the same arguments for each benchmark, we use Python's builtin `functools.partial` to fill the arguments.
 
 ```python
---8<-- "examples/huggingface/benchmark.py:131:139"
+--8<-- "examples/huggingface/benchmark.py:63:67"
 ```
 
-!!! Tip
-    In this parametrization, the model path is hardcoded to "dslim/distilbert-NER" on the HuggingFace hub.
-    When benchmarking other models, be sure to change this path to the actual model you want to benchmark.
-
 After this, the benchmarking code is actually very simple, as in most of the other examples.
 You find it in the nnbench repository in `examples/huggingface/runner.py`.