30 lines
940 B
Markdown
30 lines
940 B
Markdown
---
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pipeline_tag: text-classification
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tags:
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- sentence-transformers
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- transformers
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language:
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- en
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licence:
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- apache-2.0
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---
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# SetFit-caesar-cipher-classifier
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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.
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## Usage (SetFitModel)
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```python
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from setfit import SetFitModel
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sentences = ["This is an example sentence", "Each sentence is tested", "Aopz pz hu lehtwsl zlualujl", "Rnpu fragrapr vf grfgrq"]
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model = SetFitModel.from_pretrained("trollek/setfit-gibberish-detector")
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for sentence in sentences:
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classification = model.predict(sentence)
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print(classification)
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# clear
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# clear
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# gibberish
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# gibberish
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``` |