initial model commit

README.md

@@ -72,9 +72,9 @@ for entity in sentence.get_spans('ner'):
 
 This yields the following output:
 ```
-Span [2,3]: "September 1st"   [− Labels: DATE (0.8824)]
-Span [4,5]: "George Washington"   [− Labels: PERSON (0.9604)]
-Span [7,8]: "1 dollar"   [− Labels: MONEY (0.9837)]
+Span [2,3]: "September 1st"   [− Labels: DATE (0.9655)]
+Span [4,5]: "George Washington"   [− Labels: PERSON (0.8243)]
+Span [7,8]: "1 dollar"   [− Labels: MONEY (0.8022)]
 ```
 
 So, the entities "*September 1st*" (labeled as a **date**), "*George Washington*" (labeled as a **person**) and "*1 dollar*" (labeled as a **money**) are found in the sentence "*On September 1st George Washington won 1 dollar*".