Instructions to use Cyleux/oc1b-16bit_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cyleux/oc1b-16bit_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Cyleux/oc1b-16bit_2")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForTextToWaveform extractor = AutoFeatureExtractor.from_pretrained("Cyleux/oc1b-16bit_2") model = AutoModelForTextToWaveform.from_pretrained("Cyleux/oc1b-16bit_2") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| base_model: unsloth/csm-1b | |
| tags: | |
| - text-to-speech | |
| - csm | |
| - merged | |
| # Cyleux/oc1b-16bit_2 | |
| Full-parameter CSM checkpoint finetuned from `unsloth/csm-1b` in `oc-voice-2026-dualvoice-b200-full-cold-speakerprefix-p90-whine-3ep-20260506`. | |
| Source checkpoint path on the Modal checkpoint volume: | |
| `/checkpoints/oc-voice-2026-dualvoice-b200-full-cold-speakerprefix-p90-whine-3ep-20260506/checkpoint-19581` | |