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  - multilingual
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- # NuExtract-tiny-v1.5 by NuMind 🔥
 
 
 
 
 
 
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  NuExtract-tiny-v1.5 is a fine-tuning of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B), trained on a private high-quality dataset for structured information extraction. It supports long documents and several languages (English, French, Spanish, German, Portuguese, and Italian).
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  To use the model, provide an input text and a JSON template describing the information you need to extract.
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- ## An awesome Streamlit+OpenVINO interface [![Mentioned in Awesome OpenVINO](https://awesome.re/mentioned-badge-flat.svg)](https://github.com/openvinotoolkit/awesome-openvino)
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  you can find the code in [my official GitHub repository](https://github.com/fabiomatricardi/NuExtract-1.5-openvino)
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- You can clone the repo and use the downloaded files from this Hugging Face Model
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  Running the streamlit app will give this:
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  <p align="left">
 
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+ <p align="left">
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+ <img src="https://github.com/fabiomatricardi/NuExtract-1.5-openvino/raw/main/logo.png" width= 300>
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+ </p>
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+ # NuExtract-tiny-v1.5 by NuMind 🔥 OpenVINO
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  NuExtract-tiny-v1.5 is a fine-tuning of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B), trained on a private high-quality dataset for structured information extraction. It supports long documents and several languages (English, French, Spanish, German, Portuguese, and Italian).
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  To use the model, provide an input text and a JSON template describing the information you need to extract.
 
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  </p>
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+ ## An awesome Streamlit+OpenVINO interface
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  you can find the code in [my official GitHub repository](https://github.com/fabiomatricardi/NuExtract-1.5-openvino)
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+ [![Mentioned in Awesome OpenVINO](https://awesome.re/mentioned-badge-flat.svg)](https://github.com/openvinotoolkit/awesome-openvino)
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+ You can clone the repo and use the downloaded files from this Hugging Face Model<br>
 
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  Running the streamlit app will give this:
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  <p align="left">