Update README.md

README.md

@@ -32,7 +32,7 @@ During inference, recordings are classified by comparing them to learned prototy
 providing explanations for the model's decisions and insights into the most informative embeddings of each
 bird species.
 
-- **Paper**: [Elsevier](www.sciencedirect.com/science/article/pii/S1574954125000901)
+- **Paper**: www.sciencedirect.com/science/article/pii/S1574954125000901
 
 ## Model Description
 
@@ -108,8 +108,8 @@ import librosa
 import torch
 
 # Load the model and feature extractor
-model = AutoModelForSequenceClassification.from_pretrained("DBD-research-group/AudioProtoPNet-20-BirdSet-XCL",trust_remote_code=True)
-feature_extractor = AutoFeatureExtractor.from_pretrained("DBD-research-group/AudioProtoPNet-20-BirdSet-XCL", trust_remote_code=True)
+model = AutoModelForSequenceClassification.from_pretrained("DBD-research-group/AudioProtoPNet-1-BirdSet-XCL",trust_remote_code=True)
+feature_extractor = AutoFeatureExtractor.from_pretrained("DBD-research-group/AudioProtoPNet-1-BirdSet-XCL", trust_remote_code=True)
 model.eval()
 
 # Load an example audio file