26cd9dfa31f3cde102a7450266276e1153f03329
Model: trollek/setfit-gibberish-detector Source: Original Platform
pipeline_tag, tags, language, licence
| pipeline_tag | tags | language | licence | ||||
|---|---|---|---|---|---|---|---|
| text-classification |
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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
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