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README.md
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**Try out the [demo](TODO:add_link)!**
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# Model Details
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- **Developed by:** Hugging Face
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<!-- - [GitHub Repo](https://github.com/huggingface/m4/) -->
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- img2html dataset: [Dataset card](https://huggingface.co/datasets/HuggingFaceM4/img2html)
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This model is based on a very early checkpoint of our forthcoming vision-language foundation model, which has been fine-tuned using the [img2html](https://huggingface.co/datasets/HuggingFaceM4/img2html) dataset.
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This is very much an alpha version. The goal is to kick off an effort to develop improved models capable of converting a website screenshot into actual code.
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# License
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The model is built on top of two pre-trained models: [SigLIP](https://github.com/huggingface/transformers/pull/26522) and [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). As such, users should comply with the licenses of these models.
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**Try out the [demo](TODO:add_link)!**
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# Model Description
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This model converts screenshots of website components into HTML/CSS codes.
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It is based on a very early checkpoint of our forthcoming vision-language foundation model, which has been fine-tuned using the [img2html](https://huggingface.co/datasets/HuggingFaceM4/img2html) dataset.
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This is very much an alpha version. The goal is to kick off an effort to develop improved models capable of converting a website screenshot into actual code.
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# Model Details
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- **Developed by:** Hugging Face
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<!-- - [GitHub Repo](https://github.com/huggingface/m4/) -->
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- img2html dataset: [Dataset card](https://huggingface.co/datasets/HuggingFaceM4/img2html)
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# License
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The model is built on top of two pre-trained models: [SigLIP](https://github.com/huggingface/transformers/pull/26522) and [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1). As such, users should comply with the licenses of these models.
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