Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
speecht5
text-to-audio
Generated from Trainer
Instructions to use Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german") model = AutoModelForTextToSpectrogram.from_pretrained("Sandiago21/speecht5_finetuned_mozilla_foundation_common_voice_13_german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b8824ae1f5a61ff725f7cb64497a06f1126ce3a16acb828e0c30f5c9b3e4651
- Size of remote file:
- 4.22 kB
- SHA256:
- 26089e4971a2e2c96d5771e6be23478cdec1e53081ab1f61b4a3b3e818a5af7f
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