# Fine-tuning using TF and py

**URL:** <https://discuss.huggingface.co/t/fine-tuning-using-tf-and-py/116532>\
**Category:** Beginners\
**Created:** [November 9, 2024, 1:45pm UTC](https://discuss.huggingface.co/t/fine-tuning-using-tf-and-py/116532 "2024-11-09T13:45:44Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![AbdulrahmanAhmed](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/abdulrahmanahmed/32/32380_2.png) [@AbdulrahmanAhmed](https://discuss.huggingface.co/u/AbdulrahmanAhmed)\
**Post date:** [November 9, 2024, 1:45pm UTC](https://discuss.huggingface.co/t/fine-tuning-using-tf-and-py/116532/1 "2024-11-09T13:45:44Z")

</div>

I use Tensorflow when I want to fine-tune a model from hugging face I use Tensorflow,  
but when I learned quantization, LoRA, and QLoRA, I found that I should use PyTorch Trainer and TrainingArguments. So I’m a little confused because I primarily use Tensorflow.  
Is what I did correct or there is something else?
