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@@ -20,7 +20,7 @@ Result : The model can speak French much better without an English accent but th
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  Tortoise base model Fine tuned on a custom multispeaker French dataset of 24k samples (SIWIS + Common Voice) on 8850 step with a RTX 3090 (~= 19 hours of training)
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  **Inference :**
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- * You can use the model by downloading the "8850_gpt.pth" model and use it in the tortoise-tts optimized forks (git.ecker.tech/mrq/ai-voice-cloning | 152334H/tortoise-tts-fast)
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  **Fine tuning :**
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- * I used 152334H/DL-Art-School for training, if you want to resume training from my epoch, follow its documentation and download "8850.state"
 
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  Tortoise base model Fine tuned on a custom multispeaker French dataset of 24k samples (SIWIS + Common Voice) on 8850 step with a RTX 3090 (~= 19 hours of training)
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  **Inference :**
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+ * You can use the model by downloading the "V2_9750_gpt.pth" model and use it in the tortoise-tts optimized forks (git.ecker.tech/mrq/ai-voice-cloning | 152334H/tortoise-tts-fast)
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  **Fine tuning :**
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+ * I used 152334H/DL-Art-School for training, if you want to resume training from my epoch, follow its documentation and download "V2_9750.state"