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@@ -161,7 +161,7 @@ outputs = model.generate(**inputs, max_new_tokens = 300, use_cache = True)
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  response = tokenizer.batch_decode(outputs)[0]
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  ```
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- Refer to the [blog post](https://ravidesetty.medium.com/introducing-indic-gemma-7b-2b-instruction-tuned-model-on-9-indian-languages-navarasa-86bc81b4a282) for sample examples.
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  Please check our [Code Repository](https://github.com/TeluguLLMLabs/Indic-gemma-7b-Navarasa) for training and inference scripts.
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  response = tokenizer.batch_decode(outputs)[0]
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  ```
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+ Refer to the [blog post](https://ravidesetty.medium.com/introducing-navarasa-2-0-indic-gemma-7b-2b-instruction-tuned-model-on-15-indian-languages-31f6565b2750) for sample examples.
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  Please check our [Code Repository](https://github.com/TeluguLLMLabs/Indic-gemma-7b-Navarasa) for training and inference scripts.
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