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
| { | |
| "bos_token_id": 128000, | |
| "depth_decoder_do_sample": true, | |
| "depth_decoder_temperature": 0.9, | |
| "do_sample": true, | |
| "max_length": 2048, | |
| "max_new_tokens": 125, | |
| "pad_token_id": 128256, | |
| "temperature": 0.9, | |
| "transformers_version": "4.56.2" | |
| } | |