Update README.md

README.md

@@ -35,9 +35,10 @@ Benchmark
 
 This model is compared to 3 reference models (see below). As each model doesn't have the same definition of targets, we detail the performance measure used for each of them. For the mean inference time measure, an **AMD Ryzen 5 4500U @ 2.3GHz with 6 cores** was used.
 
-#### [bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment)
+#### bert-base-multilingual-uncased-sentiment
+[bert-base-multilingual-uncased-sentiment](https://huggingface.co/nlptown/bert-base-multilingual-uncased-sentiment) based on BERT model in multilingual and uncased version.
 
-#### [tf-allociné](https://huggingface.co/tblard/tf-allocine) and [barthez-sentiment-classification](https://huggingface.co/moussaKam/barthez-sentiment-classification)
+#### [tf-allociné](https://huggingface.co/tblard/tf-allocine) and [barthez-sentiment-classification](https://huggingface.co/moussaKam/barthez-sentient-classification)
 
 How to use DistilCamemBERT-Sentiment
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