facebook/voxpopuli
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How to use romlinux/speecht5_tts_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="romlinux/speecht5_tts_voxpopuli_nl") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("romlinux/speecht5_tts_voxpopuli_nl")
model = AutoModelForTextToSpectrogram.from_pretrained("romlinux/speecht5_tts_voxpopuli_nl")This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli 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 |
|---|---|---|---|
| 0.516 | 4.3 | 1000 | 0.4745 |
| 0.5009 | 8.6 | 2000 | 0.4626 |
| 0.4979 | 12.9 | 3000 | 0.4562 |
| 0.4928 | 17.2 | 4000 | 0.4546 |
Base model
microsoft/speecht5_tts