Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
speecht5
text-to-audio
Generated from Trainer
Instructions to use Lightmourne/speecht5_finetuned_voxpopuli_nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lightmourne/speecht5_finetuned_voxpopuli_nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Lightmourne/speecht5_finetuned_voxpopuli_nl")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Lightmourne/speecht5_finetuned_voxpopuli_nl") model = AutoModelForTextToSpectrogram.from_pretrained("Lightmourne/speecht5_finetuned_voxpopuli_nl") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5976d9d2261d4b2225203b2f17156f8de286b2fa0c6ae5f46184c43fa20bf9fb
- Size of remote file:
- 585 MB
- SHA256:
- 542ccb8de557f2d4decf6cc64510112f2e348ee976d83be0d1a8803bbeff658f
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