Update README.md

README.md

@@ -8,7 +8,7 @@ Its main task is to perform the [Natural Language Inference (NLI)](https://nlp.s
 The prediction labels may assume three possible values: 
 1. 1 means the model predicts <em>entailment</em>;
 2. 0 represents the <em>neutral</em> case;
-3. 2 corresponds to <em>contradiction</em>.
+3. -1 corresponds to <em>contradiction</em>.
  
 ## How it was trained
 1. Train [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the NLI task;
@@ -17,7 +17,7 @@ The prediction labels may assume three possible values:
 ## Usage #1 (HuggingFace Transformers)
 In the environment on which you want to run the project, type:
 ```markdown
-pip install --extra-index-url https://test.pypi.org/simple/ ispin==0.1.4
+pip install --extra-index-url https://test.pypi.org/simple/ ispin==0.2.0
 ```
 
 NOTE: during the first execution, a total of two different models will be downloaded: