Update README.md

README.md

@@ -49,7 +49,7 @@ from transformers import AutoModel, AutoTokenizer
 import torch
 import numpy as np
 
-model = AutoModel.from_pretrained('Tabgac/SpectPrompt', trust_remote_code=True)
+model = AutoModel.from_pretrained('UniMus/OpenJMLA', trust_remote_code=True)
 device = model.device
 # sample rate: 16k
 music_path = '/path/to/music.wav'
@@ -90,7 +90,7 @@ print(gen_text)
 ## Example
 
 ### music: 
-https://huggingface.co/Tabgac/SpectPrompt/blob/main/6774978832668559373.wav
+https://huggingface.co/UniMus/OpenJMLA/blob/main/6774978832668559373.wav
 
 ### caption: 
 This particular song falls under the genre of Pop and has a vocal focus.