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README.md
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# How To Use in NVIDIA NeMo Curator
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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.
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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/
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# How to Use in Transformers
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To use the multilingual domain classifier, use the following code:
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# How To Use in NVIDIA NeMo Curator
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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.
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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.
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# How to Use in Transformers
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To use the multilingual domain classifier, use the following code:
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