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:
- 4823bf18875a7e260b2a78d3a52a25b3aa1a9fa80178c6d7979158d96da745f0
- Size of remote file:
- 585 MB
- SHA256:
- b133cc3ca627be38a24d4ae598bf8e207bddb937b960a3bfca5800e8f21bb11f
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