Instructions to use itriedcoding/Sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itriedcoding/Sol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="itriedcoding/Sol")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("itriedcoding/Sol") model = AutoModelForTextToSpectrogram.from_pretrained("itriedcoding/Sol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -31,7 +31,7 @@ It comes in two parts:
|
|
| 31 |
2. **Sol v1** — a `SpeechT5` acoustic model we fine-tuned on public
|
| 32 |
LibriSpeech voice data, whose weights live in **this repository**.
|
| 33 |
|
| 34 |
-
|
| 35 |
|
| 36 |
## Voices & languages
|
| 37 |
|
|
|
|
| 31 |
2. **Sol v1** — a `SpeechT5` acoustic model we fine-tuned on public
|
| 32 |
LibriSpeech voice data, whose weights live in **this repository**.
|
| 33 |
|
| 34 |
+
|
| 35 |
|
| 36 |
## Voices & languages
|
| 37 |
|