Update README.md

README.md

@@ -13,11 +13,12 @@ widget:
 This model is a fine-tune checkpoint of [Yanzhu/bertweetfr-base](https://huggingface.co/Yanzhu/bertweetfr-base), fine-tuned on SST-2.
 This model reaches an accuracy of 71% on the dev set.
 In this dataset, given a tweet, the goal was to infer the underlying topic of the tweet by choosing from four topics classes:
--positif
--negatif
--neutre 
- 
- # Pipelining the Model
+- 0 : negatif
+- 1 : neutre 
+- 2 : positif
+
+
+# Pipelining the Model
  
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline