facebook/voxpopuli
Viewer • Updated • 1.26M • 18.8k • 152
How to use AlexK-PL/speecht5_tts_fine-tuned_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="AlexK-PL/speecht5_tts_fine-tuned_voxpopuli_nl") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("AlexK-PL/speecht5_tts_fine-tuned_voxpopuli_nl")
model = AutoModelForTextToSpectrogram.from_pretrained("AlexK-PL/speecht5_tts_fine-tuned_voxpopuli_nl")This repository is publicly accessible, but you have to accept the conditions to access its files and content.
By clicking on “Access repository” below, you also agree to not attempt to determine the identity of speakers.
Log in or Sign Up to review the conditions and access this model content.
This model is a fine-tuned version of microsoft/speecht5_tts on the VoxPopuli dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.52 | 4.3 | 1000 | 0.4763 |
| 0.5046 | 8.6 | 2000 | 0.4633 |
| 0.4938 | 12.9 | 3000 | 0.4579 |
| 0.4965 | 17.2 | 4000 | 0.4572 |