Instructions to use ranupthestairs/vocence-tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ranupthestairs/vocence-tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ranupthestairs/vocence-tts")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ranupthestairs/vocence-tts") model = AutoModelForCausalLM.from_pretrained("ranupthestairs/vocence-tts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08a3376e8c65bcf85c234a88187316626655747461e486ff0bc157a8fb041d33
- Size of remote file:
- 1.61 GB
- SHA256:
- df22e9a90c1bea262250982640b119e6020474736991da482cb6ed56dd23d045
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