ravirajoshi
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Update README.md
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README.md
CHANGED
@@ -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=
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# Decode and print the output
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output_text = tokenizer.decode(outputs[0])
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@@ -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{
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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},
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