# Zero-shot classification using models not explicitly meant for that?

**URL:** <https://discuss.huggingface.co/t/zero-shot-classification-using-models-not-explicitly-meant-for-that/143034>\
**Category:** 🤗Transformers\
**Created:** [February 26, 2025, 12:08pm UTC](https://discuss.huggingface.co/t/zero-shot-classification-using-models-not-explicitly-meant-for-that/143034 "2025-02-26T12:08:40Z")\
**Posts on this page:** 1\
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**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\
**Post date:** [February 26, 2025, 3:58pm UTC](https://discuss.huggingface.co/t/zero-shot-classification-using-models-not-explicitly-meant-for-that/143034/2 "2025-02-26T15:58:43Z")

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It seems to be possible. ~Instruct is usually probably adjusted to be suitable for chatbots, etc., but I think ~Base is intended for use in various tasks.

> [@Text Classification With LLM](https://discuss.huggingface.co/t/text-classification-with-llm/101480):
>
> Looking for a multi language model to categorize news articles by their titles that can be fine-tuned with labeled data. It shouldn’t rely on word-based methods. I have used SetFit, but the results aren’t great. It would be helpful if anyone can point me in the right direction. I’m looking to finetune the model on news title slight_smile

> **[Multilabel Classification using Mistral-7B on a single GPU with quantization...](https://huggingface.co/blog/sirluk/multilabel-llm)**
>
> A Blog post by Lukas on Hugging Face

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