Text-to-Speech
Transformers
TensorBoard
Safetensors
Dutch
speecht5
text-to-audio
Generated from Trainer
Instructions to use EYEDOL/speek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EYEDOL/speek with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="EYEDOL/speek")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("EYEDOL/speek") model = AutoModelForTextToSpectrogram.from_pretrained("EYEDOL/speek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cd6e0eb122fcaa14072be740754458e48ca890ddc5e643c88b90a9663cbe7fb
- Size of remote file:
- 5.5 kB
- SHA256:
- d1bbcecace8d63e03ef932f62a7b097d21b8f387052f8ef6e74cce35d8522d37
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