facebook/voxpopuli
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How to use bochen0909/speecht5_finetuned_voxpopuli_es with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="bochen0909/speecht5_finetuned_voxpopuli_es") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("bochen0909/speecht5_finetuned_voxpopuli_es")
model = AutoModelForTextToSpectrogram.from_pretrained("bochen0909/speecht5_finetuned_voxpopuli_es")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 |
|---|---|---|---|
| 0.5014 | 8.61 | 1000 | 0.4599 |
| 0.479 | 17.22 | 2000 | 0.4479 |
| 0.4784 | 25.83 | 3000 | 0.4441 |
| 0.4696 | 34.45 | 4000 | 0.4435 |
Base model
microsoft/speecht5_tts