facebook/voxpopuli
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How to use markredito/speecht5_finetuned_voxpopuli_it with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="markredito/speecht5_finetuned_voxpopuli_it") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("markredito/speecht5_finetuned_voxpopuli_it")
model = AutoModelForTextToSpectrogram.from_pretrained("markredito/speecht5_finetuned_voxpopuli_it")This model is a fine-tuned version of microsoft/speecht5_tts on the facebook/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 |
|---|---|---|---|
| 0.5595 | 3.0628 | 500 | 0.5110 |
| 0.5358 | 6.1256 | 1000 | 0.4954 |
| 0.5213 | 9.1884 | 1500 | 0.4886 |
| 0.5165 | 12.2511 | 2000 | 0.4872 |
Base model
microsoft/speecht5_tts