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https://github.com/SWivid/F5-TTS.git
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@@ -106,6 +106,8 @@ def main():
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vocab_char_map, vocab_size = get_tokenizer(tokenizer_path, tokenizer)
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print("\nvocab : ", vocab_size)
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mel_spec_kwargs = dict(
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target_sample_rate=target_sample_rate,
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n_mel_channels=n_mel_channels,
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@@ -1389,7 +1389,7 @@ If you encounter a memory error, try reducing the batch size per GPU to a smalle
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save_per_updates.value = save_per_updatesv
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last_per_steps.value = last_per_stepsv
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ch_finetune.value = finetunev
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file_checkpoint_train.value = file_checkpoint_train
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file_checkpoint_train.value = file_checkpoint_trainv
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tokenizer_type.value = tokenizer_typev
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tokenizer_file.value = tokenizer_filev
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mixed_precision.value = mixed_precisionv
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