Update README.md

README.md

@@ -7,9 +7,11 @@ language: sv
 datasets:
 - SUC 3.0
 widget:
-- text: "Hampus Londögård bor i Lund och har levererat denna model idag."
+- text: "Hampus bor i Skåne och har levererat denna model idag."
 ---
 
+Published with ❤️ from [londogard](https://londogard.com).
+
 ## Swedish NER in Flair (SUC 3.0)
 F1-Score: **85.6** (SUC 3.0)
 
@@ -38,9 +40,9 @@ Requires: **[Flair](https://github.com/flairNLP/flair/)** (`pip install flair`)
 from flair.data import Sentence
 from flair.models import SequenceTagger
 # load tagger
-tagger = SequenceTagger.load("flair/ner-english-ontonotes-large")
+tagger = SequenceTagger.load("londogard/flair-swe-ner")
 # make example sentence
-sentence = Sentence("Hampus Londögård bor i Lund och har levererat denna model idag.")
+sentence = Sentence("Hampus bor i Skåne och har levererat denna model idag.")
 # predict NER tags
 tagger.predict(sentence)
 # print sentence
@@ -53,12 +55,12 @@ for entity in sentence.get_spans('ner'):
 ```
 This yields the following output:
 ```
-Span [0,1]: "Hampus Londögård"   [− Labels: PRS (1.0)]
-Span [4]: "Lund"   [− Labels: LOC (1.0)]
-Span [10]: "idag"   [− Labels: TME(1.0)]
+Span [0]: "Hampus"   [− Labels: PRS (1.0)]
+Span [3]: "Skåne"   [− Labels: LOC (1.0)]
+Span [9]: "idag"   [− Labels: TME(1.0)]
 ```
 
-So, the entities "_Hampus Londögård_" (labeled as a **PRS**), "_Lund_" (labeled as a **LOC**), "_idag_" (labeled as a **TME**) are found in the sentence "_Hampus Londögård bor i Lund och har levererat denna model idag._". 
+So, the entities "_Hampus_" (labeled as a **PRS**), "_Skåne_" (labeled as a **LOC**), "_idag_" (labeled as a **TME**) are found in the sentence "_Hampus bor i Skåne och har levererat denna model idag._". 
 
 ---