initial model commit

README.md

@@ -13,7 +13,7 @@ inference: false
 
 This is the fast phrase chunking model for English that ships with [Flair](https://github.com/flairNLP/flair/).
 
-F1-Score: **96,48** (corrected CoNLL-2000)
+F1-Score: **96,22** (corrected CoNLL-2000)
 
 Predicts 4 tags:
 
@@ -43,7 +43,7 @@ from flair.data import Sentence
 from flair.models import SequenceTagger
 
 # load tagger
-tagger = SequenceTagger.load("flair/chunk-english")
+tagger = SequenceTagger.load("flair/chunk-english-fast")
 
 # make example sentence
 sentence = Sentence("The happy man has been eating at the diner")
@@ -98,10 +98,10 @@ tag_dictionary = corpus.make_tag_dictionary(tag_type=tag_type)
 embedding_types = [
 
     # contextual string embeddings, forward
-    FlairEmbeddings('news-forward'),
+    FlairEmbeddings('news-forward-fast'),
 
     # contextual string embeddings, backward
-    FlairEmbeddings('news-backward'),
+    FlairEmbeddings('news-backward-fast'),
 ]
 
 # embedding stack consists of Flair and GloVe embeddings
@@ -121,7 +121,7 @@ from flair.trainers import ModelTrainer
 trainer = ModelTrainer(tagger, corpus)
 
 # 7. run training
-trainer.train('resources/taggers/chunk-english',
+trainer.train('resources/taggers/chunk-english-fast',
               train_with_dev=True,
               max_epochs=150)
 ```