Model card
Browse files
README.md
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
pipeline_tag: text-classification
|
5 |
+
library_name: keras
|
6 |
+
---
|
7 |
+
# GISTy Enron1 spam
|
8 |
+
|
9 |
+
This model is a best-effort reconstruction of the LLM-based text classifier
|
10 |
+
in the [Bayes or Spam?](https://github.com/tbitai/bayes-or-spam) project.
|
11 |
+
|
12 |
+
It is intended to be used as a layer sequence over
|
13 |
+
[avsolatorio/GIST-large-Embedding-v0](https://huggingface.co/avsolatorio/GIST-large-Embedding-v0):
|
14 |
+
the embedding's output is a 1024-dimensional float array, which can be used
|
15 |
+
as the input of this model.
|
16 |
+
|
17 |
+
The model was trained on the on the [Enron1](https://www2.aueb.gr/users/ion/data/enron-spam/index.html) spam dataset.
|