---
pipeline_tag: text-classification
tags:
- sentence-transformers
- transformers
language:
- en
licence:
- apache-2.0
---
# SetFit-caesar-cipher-classifier

Made to detect whether or not text is gibberish for [bruteforcing Caesar ciphers](https://gist.github.com/hosteren/852202caffa5fa88b317689ff6ea5be8). It did not work anymore, and SetFit has been updated since. I used version 1.1.0 to train this classifier on the [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co./sentence-transformers/all-MiniLM-L6-v2) model.

## Usage (SetFitModel)


```python
from setfit import SetFitModel
sentences = ["This is an example sentence", "Each sentence is tested", "Aopz pz hu lehtwsl zlualujl", "Rnpu fragrapr vf grfgrq"]
model = SetFitModel.from_pretrained("trollek/setfit-gibberish-detector")
for sentence in sentences:
  classification = model.predict(sentence)
  print(classification)

# clear
# clear
# gibberish
# gibberish
```