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nemotron
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Update README.md

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@@ -74,7 +74,7 @@ prompt = 'भारत की राजधानी क्या है?'
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  inputs = tokenizer.encode(prompt, return_tensors='pt').to(model.device)
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  # Generate the output
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- outputs = model.generate(inputs, max_length=20)
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  # Decode and print the output
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  output_text = tokenizer.decode(outputs[0])
@@ -122,7 +122,7 @@ NVIDIA believes Trustworthy AI is a shared responsibility, and we have establish
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  If you find our work helpful, please consider citing our paper:
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  ```
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- @article{hindiminitron2024,
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  title={Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus},
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  author={Raviraj Joshi and Kanishk Singla and Anusha Kamath and Raunak Kalani and Rakesh Paul and Utkarsh Vaidya and Sanjay Singh Chauhan and Niranjan Wartikar and Eileen Long},
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  journal={arXiv preprint arXiv:2410.14815},
 
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  inputs = tokenizer.encode(prompt, return_tensors='pt').to(model.device)
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  # Generate the output
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+ outputs = model.generate(inputs, max_length=15)
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  # Decode and print the output
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  output_text = tokenizer.decode(outputs[0])
 
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  If you find our work helpful, please consider citing our paper:
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  ```
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+ @article{hindinemotron2024,
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  title={Adapting Multilingual LLMs to Low-Resource Languages using Continued Pre-training and Synthetic Corpus},
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  author={Raviraj Joshi and Kanishk Singla and Anusha Kamath and Raunak Kalani and Rakesh Paul and Utkarsh Vaidya and Sanjay Singh Chauhan and Niranjan Wartikar and Eileen Long},
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  journal={arXiv preprint arXiv:2410.14815},