Update README.md

README.md

@@ -50,11 +50,12 @@ Our models can be used with `AutoModel` and `AutoConfig` classes to extract feat
 
 ```python
 import soundfile as sf
-import torch.nn.functional as F
+import torch
 from transformers import AutoProcessor, AutoModel
 
 # load model
 model_name = "PantagrueLLM/speech-base-14K"
+# 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()