simon3000/genshin-voice
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How to use SkylerChew/speecht5_tts_genshin with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="SkylerChew/speecht5_tts_genshin") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("SkylerChew/speecht5_tts_genshin")
model = AutoModelForTextToSpectrogram.from_pretrained("SkylerChew/speecht5_tts_genshin")This model is a fine-tuned version of microsoft/speecht5_tts on the genshin-voice dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6689 | 1.9550 | 1000 | 0.5954 |
| 0.6139 | 3.9101 | 2000 | 0.5623 |
| 0.6054 | 5.8651 | 3000 | 0.5481 |
| 0.5932 | 7.8201 | 4000 | 0.5421 |
Base model
microsoft/speecht5_tts