Fix: Add missing matplotlib installation in example code
Description
The example code fails with ModuleNotFoundError: No module named 'matplotlib' when run in a clean environment. This is due to the matplotlib package not being pre-installed.
Changes
Added the following line at the beginning of the script to ensure all required dependencies are available:
!{sys.executable} -m pip install matplotlib
Testing
The code has been successfully tested and runs without error.
Note
This contribution is part of an ongoing research initiative to systematically identify and correct faulty example code in Hugging Face Model Cards.
We would appreciate a timely review and integration of this patch to support code reliability and enhance reproducibility for downstream users.
I don’t think the !{sys.executable} will work in general (maybe only in Jupyter notebooks?). As a code snippet to be read by humans, I think it is clear that one needs to have matplotlib
You're absolutely right — !{sys.executable} -m pip install matplotlib is indeed a Jupyter-specific command and may not work properly in general script environments. Our intention behind adding this line was to ensure that the example code can run smoothly in clean or containerized environments, especially to provide a better experience for first-time users of the model.
In our testing, we observed that many example scripts fail silently due to missing or implicit dependencies, which can be quite frustrating for users unfamiliar with environment setup. That said, we completely understand that including installation commands directly in the code may not align with the style or target audience of this repository.
As an alternative, it might be helpful to annotate required dependencies using comments (e.g., # Requires: matplotlib), or list them explicitly in the README. This could help strike a better balance between code readability, reproducibility, and user onboarding.
Thank you again for your feedback! We'll continue working to improve the usability and robustness of example code in our future contributions.