Merge branch 'models_and_tutorials' of https://github.com/flairNLP/flair into models_and_tutorials

Author: alanakbik

resources/docs/TUTORIAL_TAGGING_NER.md

@@ -86,7 +86,7 @@ To tag a German sentence, just load the appropriate model:
 ```python
 
 # load model
-tagger = Classifier.load('de-ner')
+tagger = Classifier.load('de-ner-large')
 
 # make German sentence
 sentence = Sentence('George Washington ging nach Washington.')

resources/docs/TUTORIAL_TAGGING_OVERVIEW.md

@@ -47,7 +47,7 @@ A common question that gets asked is **how to access these predictions directly*
 the `get_labels()` method to iterate over all predictions:
 
 ```python
-for label in sentence.get_labels('ner'):
+for label in sentence.get_labels():
     print(label)
 ```
 This should print the two NER predictions:
@@ -87,5 +87,4 @@ the text of label.data_point is: "Washington"
 
 ## Next
 
-Now, let us look at how to use different [word embeddings](/resources/docs/TUTORIAL_3_WORD_EMBEDDING.md) to embed your
-text.
+You can check out all tutorial chapters listed above. We recommend starting with [Tutorial 2.1: How to use **Named Entity Recognition** models](/resources/docs/TUTORIAL_TAGGING_NER.md).