Finetuning a Tensorflow model for Multilabel classification

Hello Team,

I am a beginner to hugging face and am continuing to learn on using the HF models. Now, i have a situation where i would like to fine tune a TensorFlow model for multi label classification using 6 different classes.

I guess there is some examples out here but i am not able to find one using TF models, i am a beginner in Pytorch hence i wanted to test TF model.

Kindly help me with a source or any solution link that has an answer.


This is your best bet to get started: Text classification

Thanks a lot, i did check this page but i guess i dint pay a lot of attention to somethings. My bad, I shall go through this and get back.