Merge branch 'main' of https://huggingface.co/Saisam/Inquirer_ner_loc into main

README.md

@@ -1,3 +1,41 @@
 ---
-license: afl-3.0
+tags:
+- flair
+- token-classification
+language: en
+datasets:
+- conll2003
+widget:
+- text: "George Washington went to Washington"
 ---
+
+# Flair NER fine-tuned on Private Dataset
+
+```python
+from flair.data import Sentence
+from flair.models import SequenceTagger
+# load tagger
+tagger = SequenceTagger.load("Saisam/Inquirer_ner_loc")
+# make example sentence
+sentence = Sentence("George Washington went to Washington")
+# predict NER tags
+tagger.predict(sentence)
+# print sentence
+print(sentence)
+# print predicted NER spans
+print('The following NER tags are found:')
+# iterate over entities and print
+for entity in sentence.get_spans('ner'):
+    print(entity)
+```
+
+
+```
+@inproceedings{akbik2018coling,
+  title={Contextual String Embeddings for Sequence Labeling},
+  author={Akbik, Alan and Blythe, Duncan and Vollgraf, Roland},
+  booktitle = {{COLING} 2018, 27th International Conference on Computational Linguistics},
+  pages     = {1638--1649},
+  year      = {2018}
+}
+```