Update README.md

README.md

@@ -50,7 +50,9 @@ For more details please check [our paper](https://arxiv.org/abs/2409.12117).
 The model is available for use in the [NVIDIA NeMo](https://github.com/NVIDIA/NeMo), and can be used as a pre-trained checkpoint for inference or for fine-tuning on another dataset. 
 
 ### Inference
-For inference, you can manually download the [checkpoint](https://huggingface.co/nvidia/Low-Frame-rate-Speech-Codec/resolve/main/Low_Frame-rate_Speech_Codec_21Hz.nemo) and use the code below to make an inference on the model:
+For inference, you can follow our [Audio Codec Inference Tutorial](https://github.com/NVIDIA/NeMo/blob/main/tutorials/tts/Audio_Codec_Inference.ipynb) which automatically downloads the model checkpoint. Note that you will need to set the ```model_name``` parameter to "nvidia/Low-Frame-rate-Speech-Codec".
+
+Alternatively, you can manually download the [checkpoint](https://huggingface.co/nvidia/Low-Frame-rate-Speech-Codec/resolve/main/Low-Frame-rate-Speech-Codec.nemo) and use the code below to make an inference on the model:
 
 ```
 import librosa