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
- Xet hash:
- 98ff6c08fd90a026e7733909e7f62572a687a4d4b336fe1f97b9f6d9495009f4
- Size of remote file:
- 4.16 kB
- SHA256:
- 32c61f4219250354a1dd97434285fbee6b925c0373cef1f33c72c12ec80a3356
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