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
Download generation_config.json from AveroLabs/Sol: direct link, hf CLI and curl.
- Browser
- Download file 270 Bytes
-
https://huggingface.co/AveroLabs/Sol/resolve/main/generation_config.json
- Command line
-
hf download hf://AveroLabs/Sol/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/AveroLabs/Sol/resolve/main/generation_config.json
270 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": [ | |
| 2 | |
| ], | |
| "output_attentions": false, | |
| "output_hidden_states": false, | |
| "pad_token_id": 1, | |
| "transformers_version": "5.10.2", | |
| "use_cache": true | |
| } | |