initial model commit

README.md

@@ -58,8 +58,8 @@ for entity in sentence.get_spans('ner'):
 
 This yields the following output:
 ```
-Span [1,2]: "George Washington"   [− Labels: PER (0.9968)]
-Span [5]: "Washington"   [− Labels: LOC (0.9994)]
+Span [1,2]: "George Washington"   [− Labels: PER (0.997)]
+Span [5]: "Washington"   [− Labels: LOC (0.9996)]
 ```
 
 So, the entities "*George Washington*" (labeled as a **person**) and "*Washington*" (labeled as a **location**) are found in the sentence "*George Washington ging naar Washington*". 
@@ -120,3 +120,10 @@ Please cite the following paper when using this model.
   year      = {2018}
 }
 ```
+
+
+---
+
+### Issues?
+
+The Flair issue tracker is available [here](https://github.com/flairNLP/flair/issues/).