初始化项目，由ModelHub XC社区提供模型

Model: trollek/setfit-gibberish-detector
Source: Original Platform

README.md

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+---
+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
+```