Instructions to use AveroLabs/Sol with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AveroLabs/Sol with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AveroLabs/Sol")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("AveroLabs/Sol") model = AutoModelForTextToSpectrogram.from_pretrained("AveroLabs/Sol", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 386 Bytes
16f67fd | 1 2 3 4 5 6 7 8 9 10 11 | {
"name": "Sol",
"base_model": "C:\\Users\\donov\\Downloads\\Sol\\assets\\microsoft\\speecht5_tts",
"dataset": "openslr/librispeech_asr/clean/validation",
"speaker_id": 2277,
"num_samples": 87,
"max_steps": 80,
"sampling_rate": 16000,
"learning_rate": 2e-06,
"note": "light fine-tune; speaker embedding is a raw x-vector (norm ~320), do not unit-normalise"
} |