Update README.md

README.md

@@ -59,17 +59,14 @@ Span [5]: "Washington"   [− Labels: LOC (0.9994)]
 ```
 
 
-### Script to train this model
+### Training: Script to train this model
 
 The following Flair script was used to train this model: 
 
 ```python
-from flair import set_seed
 from flair.data import Corpus
 from flair.datasets import CONLL_03
-from flair.embeddings import TokenEmbeddings, WordEmbeddings, StackedEmbeddings, FlairEmbeddings
-from typing import List
-
+from flair.embeddings import WordEmbeddings, StackedEmbeddings, FlairEmbeddings
 
 # 1. get the corpus
 corpus: Corpus = CONLL_03()
@@ -80,8 +77,8 @@ tag_type = 'ner'
 # 3. make the tag dictionary from the corpus
 tag_dictionary = corpus.make_tag_dictionary(tag_type=tag_type)
 
-# 4. initialize embeddings
-embedding_types: List[TokenEmbeddings] = [
+# 4. initialize each embedding we use
+embedding_types = [
 
     # GloVe embeddings
     WordEmbeddings('glove'),
@@ -99,15 +96,15 @@ embeddings = StackedEmbeddings(embeddings=embedding_types)
 # 5. initialize sequence tagger
 from flair.models import SequenceTagger
 
-tagger: SequenceTagger = SequenceTagger(hidden_size=256,
-                                        embeddings=embeddings,
-                                        tag_dictionary=tag_dictionary,
-                                        tag_type=tag_type)
+tagger = SequenceTagger(hidden_size=256,
+                        embeddings=embeddings,
+                        tag_dictionary=tag_dictionary,
+                        tag_type=tag_type)
 
 # 6. initialize trainer
 from flair.trainers import ModelTrainer
 
-trainer: ModelTrainer = ModelTrainer(tagger, corpus)
+trainer = ModelTrainer(tagger, corpus)
 
 # 7. run training
 trainer.train('resources/taggers/ner-english',