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--- |
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thumbnail: https://huggingface.co/Norod78/gpt-fluentui-flat-svg/raw/main/train/sample16.svg |
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license: mit |
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library_name: transformers |
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pipeline_tag: text-generation |
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widget: |
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- text: <svg |
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--- |
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# gpt-fluentui-flat-svg |
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A custom GPT model which was trained upon svg files. |
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Specifically the flat emoji variants from [Microsoft's FluentUI repo](https://github.com/microsoft/fluentui-emoji). |
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These svn files only consist of "stand-alone" path elements which should make it simpler to train upon and sample from. |
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# training and dataset |
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Both Tokenizer and Model were trained using [aitextgen](https://docs.aitextgen.io/) |
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The python file which was used for training, the .txt file dataset and a few generated samples can be found [here](https://huggingface.co/Norod78/gpt-fluentui-flat-svg/tree/main/train) |
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# post processing and extracting .svg files from generated samples |
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``` |
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# Extract from generated output and into a seperate .svg file all sequences which starts with <svg and ends with: |
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# A. </svg> |
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# B. If the sequence does not end with </svg> then find the last > in the sequence and append </svg> to it |
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``` |
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# generated samples |
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The generated samples below were also created with [this script](https://huggingface.co/Norod78/gpt-fluentui-flat-svg/blob/main/train/atg_train.py) |
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