facebook/voxpopuli
Viewer โข Updated โข 1.26M โข 33.3k โข 182
How to use mcapozi/speecht5_tts_voxpopuli_mc_slv with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-speech", model="mcapozi/speecht5_tts_voxpopuli_mc_slv") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("mcapozi/speecht5_tts_voxpopuli_mc_slv")
model = AutoModelForTextToSpectrogram.from_pretrained("mcapozi/speecht5_tts_voxpopuli_mc_slv", 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:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4034 | 29.4179 | 1000 | 0.3837 |
| 0.3884 | 58.8358 | 2000 | 0.3672 |
| 0.3723 | 88.2388 | 3000 | 0.3625 |
| 0.3726 | 117.6567 | 4000 | 0.3604 |
Base model
microsoft/speecht5_tts