Update README.md

README.md

@@ -10,14 +10,11 @@ licence:
 ---
 # SetFit-caesar-cipher-classifier
 
-Made to detect whether or not text is gibberish.
+Made to detect whether or not text is gibberish. 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)
-Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) and [SetFit](https://github.com/huggingface/setfit) installed:
-```
-pip install -U sentence-transformers setfit
-```
-Then you can use the model like this:
+
+
 ```python
 from setfit import SetFitModel
 sentences = ["This is an example sentence", "Each sentence is tested", "Aopz pz hu lehtwsl zlualujl", "Rnpu fragrapr vf grfgrq"]
@@ -30,7 +27,4 @@ for sentence in sentences:
 # clear
 # gibberish
 # gibberish
-```
-
-
-It would presumably work on Enigma encrypted text, but tests would have to be done. Anyway, the model has proven pretty reliable (99%) in classifying english and danish sentences.
+```