Instructions to use Masterx/chatterbox-nano-ONNX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Chatterbox
How to use Masterx/chatterbox-nano-ONNX with Chatterbox:
# pip install chatterbox-tts import torchaudio as ta from chatterbox.tts import ChatterboxTTS model = ChatterboxTTS.from_pretrained(device="cuda") text = "Ezreal and Jinx teamed up with Ahri, Yasuo, and Teemo to take down the enemy's Nexus in an epic late-game pentakill." wav = model.generate(text) ta.save("test-1.wav", wav, model.sr) # If you want to synthesize with a different voice, specify the audio prompt AUDIO_PROMPT_PATH="YOUR_FILE.wav" wav = model.generate(text, audio_prompt_path=AUDIO_PROMPT_PATH) ta.save("test-2.wav", wav, model.sr) - Notebooks
- Google Colab
- Kaggle
Upload onnx/conditional_decoder_q4.onnx_data
Browse files- .gitattributes +1 -0
- onnx/conditional_decoder_q4.onnx_data +3 -0
.gitattributes
CHANGED
|
@@ -39,3 +39,4 @@ onnx/language_model_q4f16.onnx_data filter=lfs diff=lfs merge=lfs -text
|
|
| 39 |
onnx/language_model_q4.onnx_data filter=lfs diff=lfs merge=lfs -text
|
| 40 |
onnx/speech_encoder_q4.onnx_data filter=lfs diff=lfs merge=lfs -text
|
| 41 |
onnx/conditional_decoder_q4f16.onnx_data filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 39 |
onnx/language_model_q4.onnx_data filter=lfs diff=lfs merge=lfs -text
|
| 40 |
onnx/speech_encoder_q4.onnx_data filter=lfs diff=lfs merge=lfs -text
|
| 41 |
onnx/conditional_decoder_q4f16.onnx_data filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
onnx/conditional_decoder_q4.onnx_data filter=lfs diff=lfs merge=lfs -text
|
onnx/conditional_decoder_q4.onnx_data
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5c5317e0b79a1a19dd3d5e2b2091ea06b15716716ab801a54eaeb906c6971ec
|
| 3 |
+
size 246397384
|