Text-to-Speech
Transformers
PyTorch
TensorBoard
Safetensors
speecht5
text-to-audio
Generated from Trainer
Instructions to use Sandiago21/speecht5_finetuned_google_fleurs_greek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/speecht5_finetuned_google_fleurs_greek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Sandiago21/speecht5_finetuned_google_fleurs_greek")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sandiago21/speecht5_finetuned_google_fleurs_greek") model = AutoModelForTextToSpectrogram.from_pretrained("Sandiago21/speecht5_finetuned_google_fleurs_greek") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa5f6e6b0643ba83470915508f7bb36a38806aa0579720907fc88d559ffac1d5
- Size of remote file:
- 585 MB
- SHA256:
- 8c8be88ed2ca22c4a0b48eb3aa1e96d000e7f47870f3ae4cb613b041dc561bb6
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