Instructions to use MingHuiFang/dac_16khz_8kbps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MingHuiFang/dac_16khz_8kbps with Transformers:
# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("MingHuiFang/dac_16khz_8kbps") model = AutoModel.from_pretrained("MingHuiFang/dac_16khz_8kbps") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "DACModel" | |
| ], | |
| "codebook_size": 1024, | |
| "downsampling_ratios": [ | |
| 2, | |
| 4, | |
| 5, | |
| 8 | |
| ], | |
| "frame_rate": 86, | |
| "latent_dim": 1024, | |
| "model_bitrate": 8, | |
| "model_type": "dac", | |
| "num_codebooks": 12, | |
| "sampling_rate": 16000, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.45.0.dev0", | |
| "upsampling_ratios": [ | |
| 8, | |
| 5, | |
| 4, | |
| 2 | |
| ] | |
| } | |