Update NeMo Curator notebook link

README.md

@@ -46,7 +46,7 @@ The model architecture uses a DeBERTa backbone and incorporates multiple classif
 # How to Use in NVIDIA NeMo Curator
 [NeMo Curator](https://developer.nvidia.com/nemo-curator) improves generative AI model accuracy by processing text, image, and video data at scale for training and customization. It also provides pre-built pipelines for generating synthetic data to customize and evaluate generative AI systems.
 
-The inference code for this model is available through the NeMo Curator GitHub repository. Check out this [example notebook](https://github.com/NVIDIA/NeMo-Curator/tree/main/tutorials/distributed_data_classification) to get started.
+The inference code for this model is available through the NeMo Curator GitHub repository. Check out this [example notebook](https://github.com/NVIDIA/NeMo-Curator/blob/main/tutorials/distributed_data_classification/prompt-task-complexity-classification.ipynb) to get started.
 
 # Input & Output
 ## Input