metadata
language:
- en
pipeline_tag: text-classification
library_name: keras
GISTy Enron1 spam
This model is a best-effort reconstruction of the LLM-based text classifier in the Bayes or Spam? project.
It is intended to be used as a layer sequence over avsolatorio/GIST-large-Embedding-v0: the embedding's output is a 1024-dimensional float array, which can be used as the input of this model.
The model was trained on the on the Enron1 spam dataset.