Instructions to use CDIALing/pidgin-baseline-vits with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CDIALing/pidgin-baseline-vits with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="CDIALing/pidgin-baseline-vits")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("CDIALing/pidgin-baseline-vits") model = AutoModelForTextToWaveform.from_pretrained("CDIALing/pidgin-baseline-vits", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "pad_token": { | |
| "content": "k", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |