facebook/voxpopuli
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How to use peterblablabla/speecht5_tts_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-to-audio", model="peterblablabla/speecht5_tts_voxpopuli_nl") # Load model directly
from transformers import AutoProcessor, AutoModelForTextToSpectrogram
processor = AutoProcessor.from_pretrained("peterblablabla/speecht5_tts_voxpopuli_nl")
model = AutoModelForTextToSpectrogram.from_pretrained("peterblablabla/speecht5_tts_voxpopuli_nl")YAML Metadata Error:"base_model" with value "microsoft/speecht5_tts & YC" is not valid. Use a model id from https://hf.co/models.
This model is a fine-tuned version of [microsoft/speecht5_tts & YC](https://huggingface.co/microsoft/speecht5_tts & YC) 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 |
|---|---|---|---|
| 0.522 | 4.3 | 1000 | 0.4755 |
| 0.5028 | 8.6 | 2000 | 0.4618 |
| 0.498 | 12.9 | 3000 | 0.4575 |
| 0.4952 | 17.2 | 4000 | 0.4550 |