text-to-speech
Collection
1 item • Updated
How to use chaouch/speecht5_finetuned_voxpopuli_sl with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="chaouch/speecht5_finetuned_voxpopuli_sl") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("chaouch/speecht5_finetuned_voxpopuli_sl")
model = AutoModelForTextToSpectrogram.from_pretrained("chaouch/speecht5_finetuned_voxpopuli_sl")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 |
|---|---|---|---|
| 0.4788 | 1.28 | 50 | 0.4381 |
| 0.4788 | 2.56 | 100 | 0.4380 |
Base model
microsoft/speecht5_tts