Update README.md

README.md

@@ -36,18 +36,15 @@ import torch
 import torchaudio
 from huggingface_hub import hf_hub_download
 
+# automatically checks for cached file
 model_file = hf_hub_download(repo_id='Jenthe/ECAPA2', filename='model.pt')
 model = torch.jit.load(model_file, map_location='cpu')
 
+# input audio should have a sample rate of 16 kHz
 audio, sr = torchaudio.load('sample.wav')
-model = torch.jit.load(model_file, map_location='cpu')
 embedding = model.extract_embedding(audio)
 ```
 
-Subsequent calls will load the previously downloaded model automatically.
-
-Note: input audio should have a sample rate of 16 kHz.
-
 ### Hierarchical Feature Extraction
 
 For the extraction of other hierachical features, a separate model function is provided: