Instructions to use Audiogen/agc-discrete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Audiogen/agc-discrete with Transformers:
# Load model directly from transformers import AGC model = AGC.from_pretrained("Audiogen/agc-discrete", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "AGC" | |
| ], | |
| "codebook_dim": 8, | |
| "codebook_size": 2048, | |
| "continuous": false, | |
| "decoder_dim": 1536, | |
| "decoder_rates": [ | |
| 15, | |
| 8, | |
| 4, | |
| 2 | |
| ], | |
| "encoder_dim": 64, | |
| "encoder_rates": [ | |
| 2, | |
| 4, | |
| 8, | |
| 15 | |
| ], | |
| "latent_dim": 256, | |
| "model_type": "agc", | |
| "num_codebooks": 24, | |
| "quantizer_dropout": 0.5, | |
| "sample_rate": 48000, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.37.2", | |
| "vae": true | |
| } | |