Instructions to use bezzam/MOSS-Audio-Tokenizer-hf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bezzam/MOSS-Audio-Tokenizer-hf with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bezzam/MOSS-Audio-Tokenizer-hf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "MossAudioTokenizerModel" | |
| ], | |
| "downsampling_ratios": [ | |
| 240, | |
| 2, | |
| 2, | |
| 2 | |
| ], | |
| "dtype": "float32", | |
| "hidden_sizes": [ | |
| 768, | |
| 768, | |
| 768, | |
| 1280 | |
| ], | |
| "input_hidden_sizes": [ | |
| 240, | |
| 768, | |
| 768, | |
| 1280 | |
| ], | |
| "intermediate_sizes": [ | |
| 3072, | |
| 3072, | |
| 3072, | |
| 5120 | |
| ], | |
| "layer_scale_init_value": 0.01, | |
| "max_position_embeddings": 2048, | |
| "model_type": "moss_audio_tokenizer", | |
| "num_attention_heads": [ | |
| 12, | |
| 12, | |
| 12, | |
| 20 | |
| ], | |
| "num_hidden_layers": [ | |
| 12, | |
| 12, | |
| 12, | |
| 32 | |
| ], | |
| "output_hidden_sizes": [ | |
| 384, | |
| 384, | |
| 640, | |
| 768 | |
| ], | |
| "quantizer_config": { | |
| "codebook_dim": 8, | |
| "codebook_size": 1024, | |
| "hidden_size": 512, | |
| "input_hidden_size": 768, | |
| "model_type": "", | |
| "n_codebooks": 32, | |
| "output_hidden_size": 768 | |
| }, | |
| "rope_parameters": { | |
| "rope_theta": 10000.0, | |
| "rope_type": "default" | |
| }, | |
| "sampling_rate": 24000, | |
| "sliding_window_duration": 10, | |
| "transformers_version": "5.15.0.dev0", | |
| "use_cache": true | |
| } | |