Upload README.md

README.md

@@ -90,7 +90,8 @@ This is a fine-tuned GeoLM model for toponym detection task. The inputs are sent
 
 To use this model, please refer to the code below.
 
-* Option 1: Load weights to a BERT model (Same procedure as the demo on the right side panel)
+* **Option 1:** Load weights to a BERT model (Same procedure as the demo on the right side panel)
+
 ```import torch
 from transformers import AutoModelForTokenClassification, AutoTokenizer
 
@@ -122,7 +123,7 @@ predicted_labels = [model.config.id2label[label] for label in predicted_labels[0
 # Print predicted labels
 print(predicted_labels)
 ```
-* Option 2: Load weights to a GeoLM model 
+* **Option 2:** Load weights to a GeoLM model 
 
 To appear soon
 
@@ -133,7 +134,8 @@ To appear soon
 
 <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-GeoWebNews (Credit to Gritta et al.)
+**GeoWebNews** (Credit to [Gritta et al.](https://arxiv.org/pdf/1810.12368.pdf))
+
 Download link: https://github.com/milangritta/Pragmatic-Guide-to-Geoparsing-Evaluation/blob/master/data/GWN.xml 
 
 ## Training Procedure