# Finetuning a Tensorflow model for Multilabel classification

**URL:** <https://discuss.huggingface.co/t/finetuning-a-tensorflow-model-for-multilabel-classification/51789>\
**Category:** Beginners\
**Created:** [August 23, 2023, 8:05am UTC](https://discuss.huggingface.co/t/finetuning-a-tensorflow-model-for-multilabel-classification/51789 "2023-08-23T08:05:43Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Raghav93](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/raghav93/32/18076_2.png) [@Raghav93](https://discuss.huggingface.co/u/Raghav93)\
**Post date:** [August 23, 2023, 8:05am UTC](https://discuss.huggingface.co/t/finetuning-a-tensorflow-model-for-multilabel-classification/51789/1 "2023-08-23T08:05:43Z")

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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.

Thanks

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**Author:** ![telavir](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/telavir/32/27798_2.png) [@telavir](https://discuss.huggingface.co/u/telavir)\
**Post date:** [August 24, 2023, 5:23pm UTC](https://discuss.huggingface.co/t/finetuning-a-tensorflow-model-for-multilabel-classification/51789/2 "2023-08-24T17:23:52Z")

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This is your best bet to get started: [Text classification](https://huggingface.co/docs/transformers/tasks/sequence_classification)

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**Author:** ![Raghav93](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/raghav93/32/18076_2.png) [@Raghav93](https://discuss.huggingface.co/u/Raghav93)\
**Post date:** [August 25, 2023, 6:41am UTC](https://discuss.huggingface.co/t/finetuning-a-tensorflow-model-for-multilabel-classification/51789/3 "2023-08-25T06:41:58Z")

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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.