Instructions to use bosonai/higgs-tts-2-3b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bosonai/higgs-tts-2-3b-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="bosonai/higgs-tts-2-3b-base")# Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("bosonai/higgs-tts-2-3b-base") model = AutoModelForTextToWaveform.from_pretrained("bosonai/higgs-tts-2-3b-base") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,6 +5,7 @@ language:
|
|
| 5 |
- zh
|
| 6 |
- de
|
| 7 |
- ko
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
# HiggsAudio-V2: Redefining Expressiveness in Audio Generation
|
|
@@ -174,5 +175,4 @@ torchaudio.save(f"output.wav", torch.from_numpy(output.audio)[None, :], output.s
|
|
| 174 |
You can also check https://github.com/boson-ai/higgs-audio/examples for more example scripts.
|
| 175 |
## License
|
| 176 |
|
| 177 |
-
TBA
|
| 178 |
-
|
|
|
|
| 5 |
- zh
|
| 6 |
- de
|
| 7 |
- ko
|
| 8 |
+
pipeline_tag: text-to-speech
|
| 9 |
---
|
| 10 |
|
| 11 |
# HiggsAudio-V2: Redefining Expressiveness in Audio Generation
|
|
|
|
| 175 |
You can also check https://github.com/boson-ai/higgs-audio/examples for more example scripts.
|
| 176 |
## License
|
| 177 |
|
| 178 |
+
TBA
|
|
|