# How to use a LLM for specific task

**URL:** <https://discuss.huggingface.co/t/how-to-use-a-llm-for-specific-task/145710>\
**Category:** Beginners\
**Created:** [March 14, 2025, 5:59am UTC](https://discuss.huggingface.co/t/how-to-use-a-llm-for-specific-task/145710 "2025-03-14T05:59:16Z")\
**Posts on this page:** 3\
**Page:** 1

<div class="post-metadata">

**Author:** ![safakamali](https://avatars.discourse-cdn.com/v4/letter/s/e274bd/32.png) [@safakamali](https://discuss.huggingface.co/u/safakamali)\
**Post date:** [March 14, 2025, 5:59am UTC](https://discuss.huggingface.co/t/how-to-use-a-llm-for-specific-task/145710/1 "2025-03-14T05:59:16Z")

</div>

Hello,  
For example I want my LLM learn a pdf file.  
Its good to send pdf text for it or finetunning?  
if I want to my llm send response in a specific format, Its good to use system-instructions or fine tune?  
Can you give me a guide or some links about it?

---

<div class="post-metadata">

**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:** [March 14, 2025, 8:46am UTC](https://discuss.huggingface.co/t/how-to-use-a-llm-for-specific-task/145710/2 "2025-03-14T08:46:47Z")

</div>

If you want to treat a PDF as text, you can simply use a Python library to extract the text data, clean it up, and use it for fine-tuning.

On the other hand, if you want to treat PDFs as images that contain both text and layout, it becomes more complicated, and it is more in the realm of VLM or multimodal models than LLM. In this case, you can either convert the PDF to an image first, or use a more complicated method.

Also, if you want to have a chatbot accurately interpret PDFs, it is probably easier in the end to use a system called RAG. Find a method that seems to fit your use case. I think it’s a good idea to try out various finished products in Spaces first.

### PDF (RAG / LLM / VLM, …) Spaces

> **[Spaces - Hugging Face](https://huggingface.co/spaces?q=pdf&sort=trending)**
>
> Discover amazing ML apps made by the community

### PDF extraction tools

> **[PyMuPDF4LLM - PyMuPDF documentation](https://pymupdf.readthedocs.io/en/latest/pymupdf4llm/index.html)**
>
> PyMuPDF is a high-performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

> **[GitHub - py-pdf/pypdf: A pure-python PDF library capable of splitting,...](https://github.com/py-pdf/pypdf)**
>
> A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

> **[pdf2image](https://pypi.org/project/pdf2image/)**
>
> A wrapper around the pdftoppm and pdftocairo command line tools to convert PDF to a PIL Image list.

### about RAG

> **[Advanced RAG on Hugging Face documentation using LangChain - Hugging Face...](https://huggingface.co/learn/cookbook/advanced_rag)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

### VLM

> **[Qwen/Qwen2.5-VL-7B-Instruct · Hugging Face](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

> **[CohereLabs/aya-vision-8b · Hugging Face](https://huggingface.co/CohereLabs/aya-vision-8b)**
>
> We’re on a journey to advance and democratize artificial intelligence through open source and open science.

---

<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/hellohellohello/original/2X/d/de4155eb4aa4108ecb32a1389d7cc37ae69f88b7.png) [@system](https://discuss.huggingface.co/u/system)\
**Post date:** [March 21, 2025, 11:22am UTC](https://discuss.huggingface.co/t/how-to-use-a-llm-for-specific-task/145710/3 "2025-03-21T11:22:52Z")

</div>

This topic was automatically closed 12 hours after the last reply. New replies are no longer allowed.