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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToWaveform processor = AutoProcessor.from_pretrained("Cyleux/oc1b-16bit_2") model = AutoModelForTextToWaveform.from_pretrained("Cyleux/oc1b-16bit_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Upload WPO 30-turn rollout for oc-voice-2026-h100-fresh-20260501T115737Z
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