small correction on readme file

README.md

@@ -6,7 +6,7 @@ widget:
 - text: "Je m'appelle jean-baptiste et j'habite à montréal depuis fevr 2012"
 ---
 
-# camembert-ner: model fine-tuned from camemBERT for NER task.
+# camembert-ner: model fine-tuned from camemBERT for NER task (including DATE tag).
 
 ## Introduction
 
@@ -14,19 +14,19 @@ widget:
 Model was trained on enriched version of wikiner-fr dataset (~170 634  sentences).
 
 On my test data (mix of chat and email), this model got an f1 score of ~83% (in comparison dateparser was ~70%).
-Dateparser library can still be be used on the output of this model in order to convert text to python datetime object.
-https://dateparser.readthedocs.io/en/latest/
+Dateparser library can still be be used on the output of this model in order to convert text to python datetime object 
+(https://dateparser.readthedocs.io/en/latest/).
 
 
-## How to use camembert-ner with HuggingFace
+## How to use camembert-ner-with-dates with HuggingFace
 
-##### Load camembert-ner and its sub-word tokenizer :
+##### Load camembert-ner-with-dates and its sub-word tokenizer :
 
 ```python
 from transformers import AutoTokenizer, AutoModelForTokenClassification
 
-tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/camembert-ner")
-model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/camembert-ner")
+tokenizer = AutoTokenizer.from_pretrained("Jean-Baptiste/camembert-ner-with-dates")
+model = AutoModelForTokenClassification.from_pretrained("Jean-Baptiste/camembert-ner-with-dates")
 
 
 ##### Process text sample (from wikipedia)