Text-to-Speech
Transformers
ONNX
PyTorch
text
speech
tts
neuvoice
turkish
turkey
ai voice
text to speech
turkish tts
open source ai
huggingface model
voice cloning
realistic ai voice
speech synthesis
turkish ai
local ai
offline tts
low latency tts
multilingual tts
audio generation
speech model
real time tts
hf model
synthetic voice
Instructions to use thelamapi/neuvoice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thelamapi/neuvoice with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="thelamapi/neuvoice")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thelamapi/neuvoice", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update onnx/tts.json
Browse files- onnx/tts.json +50 -16
onnx/tts.json
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"idim": 256,
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"style_value_dim": 256,
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