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
| { | |
| "base_model_id": "unsloth/csm-1b", | |
| "checkpoint_format": "full_pretrained", | |
| "decoder_loss_weight": 0.5, | |
| "learning_rate": 3e-05, | |
| "lr_scheduler_type": "linear", | |
| "max_grad_norm": 1.0, | |
| "speaker_text_prefix": true, | |
| "trainable_scope": "full", | |
| "warmup_steps": 1000, | |
| "weight_decay": 0.002 | |
| } | |