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--- |
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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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``` |
