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
Download added_tokens.json from itriedcoding/Sol: direct link, hf CLI and curl.
- Browser
- Download file 44 Bytes
-
https://huggingface.co/itriedcoding/Sol/resolve/main/added_tokens.json
- Command line
-
hf download hf://itriedcoding/Sol/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/itriedcoding/Sol/resolve/main/added_tokens.json
44 Bytes
| { | |
| "<ctc_blank>": 80, | |
| "<mask>": 79 | |
| } | |