upload model and demo

demo2.py

@@ -0,0 +1,16 @@
+from model import FunASRNano
+
+
+def main():
+    model_dir = "FunAudioLLM/fun-asr-nano"
+    m, kwargs = FunASRNano.from_pretrained(model=model_dir, device="cuda:0")
+    m.eval()
+
+    wav_path = f"{kwargs['model_path']}/example/zh.mp3"
+    res = m.inference(data_in=[wav_path], **kwargs)
+    text = res[0][0]["text"]
+    print(text)
+
+
+if __name__ == "__main__":
+    main()