facebook/voxpopuli
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How to use mihael974/speecht5_tts_voxpopuli_hr with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="mihael974/speecht5_tts_voxpopuli_hr") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("mihael974/speecht5_tts_voxpopuli_hr")
model = AutoModelForTextToSpectrogram.from_pretrained("mihael974/speecht5_tts_voxpopuli_hr", device_map="auto")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 |
|---|---|---|---|
| 0.8033 | 32.26 | 1000 | 0.7493 |
| 0.7323 | 64.52 | 2000 | 0.6712 |
| 0.6989 | 96.77 | 3000 | 0.6556 |
| 0.6864 | 129.03 | 4000 | 0.6511 |
Base model
microsoft/speecht5_tts