[Python] Is there any other way to push large pickle files (bigger than 100 MB) to GitHub repo...

I am a beginner in ML. As per my understanding, we generally store our trained model in a pickle file. (If we are working in Python). However, GitHub has a file size upload limit of 100 MB. For files having size more than 100 MB, developers generally use Git LFS. However, Git LFS has limited free-tier usage. Is there any other way to push large pickle files (bigger than 100 MB) to GitHub repo without using Git LFS?

I used Git LFS for my project and it worked fine for a few days. However, I ran out of my free-tier usage and now my project app (hosted on Streamlit Cloud) is not working anymore. I tried Googling some other solutions, but to no avail. How do I fix this? Any help would be appreciated.

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