diff --git a/examples/audio_captioning.py b/examples/audio_captioning.py
index e1c78f1..b355e2a 100644
--- a/examples/audio_captioning.py
+++ b/examples/audio_captioning.py
@@ -4,8 +4,7 @@ This is an example using CLAPCAP for audio captioning.
 from msclap import CLAP
 
 # Load and initialize CLAP
-weights_path = "weights_path"
-clap_model = CLAP(weights_path, version = 'clapcap', use_cuda=False)
+clap_model = CLAP(version = 'clapcap', use_cuda=False)
 
 #Load audio files
 audio_files = ['audio_file']
diff --git a/examples/zero_shot_classification.py b/examples/zero_shot_classification.py
index e845ce8..1f8dc59 100644
--- a/examples/zero_shot_classification.py
+++ b/examples/zero_shot_classification.py
@@ -17,8 +17,7 @@ prompt = 'this is the sound of '
 y = [prompt + x for x in dataset.classes]
 
 # Load and initialize CLAP
-weights_path = "weights_path"
-clap_model = CLAP(weights_path, version = '2023', use_cuda=False)
+clap_model = CLAP(version = '2023', use_cuda=False)
 
 # Computing text embeddings
 text_embeddings = clap_model.get_text_embeddings(y)
diff --git a/examples/zero_shot_predictions.py b/examples/zero_shot_predictions.py
index 45b53e9..4d64a18 100644
--- a/examples/zero_shot_predictions.py
+++ b/examples/zero_shot_predictions.py
@@ -15,9 +15,8 @@ class_prompts = [prompt + x for x in classes]
 audio_files = ['audio_file']
 
 # Load and initialize CLAP
-weights_path = "weights_path"
 # Setting use_cuda = True will load the model on a GPU using CUDA
-clap_model = CLAP(weights_path, version = '2023', use_cuda=False)
+clap_model = CLAP(version = '2023', use_cuda=False)
 
 # compute text embeddings from natural text
 text_embeddings = clap_model.get_text_embeddings(class_prompts)