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setfit-gibberish-detector
trollek/setfit-gibberish-detector
setfit-gibberish-detector is a text classification model from trollek. Use it when you need a label for a piece of text. It is set up for sentence-transformers.
Made to detect whether or not text is gibberish for bruteforcing Caesar ciphers. 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/a…
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At a glance
- Task
- Text Classification
- Library
- sentence-transformers
- Model type
- bert
- Access
- Public
- Created
- Dec 3, 2022
- Updated
- Sep 28, 2024
- SHA
- 5ff8cdf2
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Model card
From the Hugging Face model README
SetFit-caesar-cipher-classifier
Made to detect whether or not text is gibberish for bruteforcing Caesar ciphers. 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 model.
Usage (SetFitModel)
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
- Task
- Text Classification
- Library
- sentence-transformers
- Type
- bert
- Languages
- en
- Created
- Dec 3, 2022
- Updated
- Sep 28, 2024