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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
speecht5_finetuned_google_fleurs_greek / runs /Jul14_22-20-09_69201a7f5283 /events.out.tfevents.1689373219.69201a7f5283
- Xet hash:
- 56edef94ba32c3be9176d694756fcdf56a2b9b55ce0922dd9644e3057b5fa8c5
- Size of remote file:
- 43.4 kB
- SHA256:
- bcf408e9475f7a86c62173a3830d5e65840cbb44a9efab7d4f60fda5f0234a9c
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