nvidia
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multilingual-domain-classifier

model_hub_mixin

pytorch_model_hub_mixin

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sarahyurick commited on Sep 22

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@@ -83,7 +83,7 @@ This model is released under the [NVIDIA Open Model License Agreement](https://d
 # How To Use in NVIDIA NeMo Curator
 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/blob/main/tutorials/distributed_data_classification/multilingual-domain-classification.ipynb) to get started.
 # How to Use in Transformers
 To use the multilingual domain classifier, use the following code:

 # How To Use in NVIDIA NeMo Curator
 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/blob/main/tutorials/text/distributed-data-classification/multilingual-domain-classification.ipynb) to get started.
 # How to Use in Transformers
 To use the multilingual domain classifier, use the following code: