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language: |
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- en |
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pipeline_tag: text-classification |
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library_name: keras |
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--- |
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# GISTy Enron1 spam |
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This model is a best-effort reconstruction of the LLM-based text classifier |
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in the [Bayes or Spam?](https://github.com/tbitai/bayes-or-spam) project. |
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It is intended to be used as a layer sequence over |
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[avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0): |
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the embedding's output is a 1024-dimensional float array, which can be used |
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as the input of this model. |
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The model was trained on the on the [Enron1](https://www2.aueb.gr/users/ion/data/enron-spam/index.html) spam dataset. |