gitgato/mabama-v6
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How to use omarViga/SpeechT5_TTS_Spanish with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="omarViga/SpeechT5_TTS_Spanish") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("omarViga/SpeechT5_TTS_Spanish")
model = AutoModelForTextToSpectrogram.from_pretrained("omarViga/SpeechT5_TTS_Spanish")This model is a fine-tuned version of microsoft/speecht5_tts on the mabama-v6 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 |
|---|---|---|---|
| 0.4472 | 125.0 | 1000 | 0.5155 |
| 0.4113 | 250.0 | 2000 | 0.4834 |
| 0.3906 | 375.0 | 3000 | 0.4680 |
| 0.3902 | 500.0 | 4000 | 0.4673 |
Base model
microsoft/speecht5_tts