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tags:
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- quantized
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## NOTE : This a Quntized Model of "Omarrran/english_speecht5_finetuned".
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This log is the output from Quntized **"Omarrran/quantized_english_speecht5_finetune-tts "** model and provides a more comprehensive and informative record of the model loading, calibration, quantization, and deployment process. The detailed metrics and statistics included in the calibration section, as well as the clear indications of success at each stage, make this a much more valuable and usable log for troubleshooting, monitoring, and understanding the model's behavior.
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tags:
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- quantized
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# *Note:*
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*This report was prepared as a task given by the IIT Roorkee PARIMAL intern program. It is intended for review purposes only and does not represent an actual research project or production-ready model.*
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| <span style="font-size: 20px; color: #2E86C1;">Resource Links</span> | <span style="font-size: 20px; color: #2ECC71;">**English Model**<br>[π Model Report Card](https://huggingface.co/Omarrran/turkish_finetuned_speecht5_tts/blob/main/README.md)<br><br>[π» GitHub Repo](https://github.com/HAQ-NAWAZ-MALIK/TTS-MODEL-Fine-tuned)</span> | <span style="font-size: 20px; color: #E74C3C;">**Turkish Model**<br>[π Turkish Model Report Card](https://huggingface.co/Omarrran/turkish_finetuned_speecht5_tts/blob/main/README.md)<br>[π» GitHub Repo](https://github.com/HAQ-NAWAZ-MALIK/turkish_finetuned_speecht5_tts/tree/main)<br></span> | <span style="font-size: 20px; color: #9B59B6;">**Quantized Model**<br>[π Quantizated Model ](https://huggingface.co/Omarrran/quantized_english_speecht5_finetune-tts)<br><br></span> |
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## NOTE : This a Quntized Model of "Omarrran/english_speecht5_finetuned".
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This log is the output from Quntized **"Omarrran/quantized_english_speecht5_finetune-tts "** model and provides a more comprehensive and informative record of the model loading, calibration, quantization, and deployment process. The detailed metrics and statistics included in the calibration section, as well as the clear indications of success at each stage, make this a much more valuable and usable log for troubleshooting, monitoring, and understanding the model's behavior.
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