Update README.md

README.md

@@ -56,7 +56,6 @@ from transformers import AutoProcessor, AutoModel
 
 # load model
 model_name = "PantagrueLLM/speech-base-1K"
-# Note: please normalize the audio if not using AutoProcessor 
 processor = AutoProcessor.from_pretrained(model_name, trust_remote_code=True)
 model = AutoModel.from_pretrained(model_name, trust_remote_code=True)
 model.eval()
@@ -64,6 +63,7 @@ model.eval()
 # load audio files
 wav, curr_sample_rate = sf.read("audio.wav", dtype="float32")
 feats = torch.from_numpy(wav).float()
+# Note: please normalize the audio if not using AutoProcessor
 inputs = processor(feats, sampling_rate=16000, return_tensors="pt")
 
 # extract features