config.json

{
  "architectures": [
    "Xcodec2Model"
  ],
  "attention_bias": false,
  "attention_dropout": 0.0,
  "decoder_hidden_size": 1024,
  "downsampling_ratios": [
    2,
    2,
    4,
    4,
    5
  ],
  "dtype": "float32",
  "encoder_hidden_size": 1024,
  "head_dim": 64,
  "hidden_act": "silu",
  "initializer_range": 0.02,
  "istft_padding": "same",
  "max_position_embeddings": 4096,
  "model_type": "xcodec2",
  "num_attention_heads": 16,
  "num_hidden_layers": 12,
  "num_key_value_heads": 16,
  "num_quantizers": 1,
  "resnet_dropout": 0.1,
  "rms_norm_eps": 1e-06,
  "rope_theta": 10000.0,
  "sampling_rate": 16000,
  "semantic_model_config": {
    "_name_or_path": "facebook/w2v-bert-2.0",
    "activation_dropout": 0.0,
    "adapter_act": "relu",
    "adapter_kernel_size": 3,
    "adapter_stride": 2,
    "add_adapter": false,
    "apply_spec_augment": false,
    "architectures": [
      "Wav2Vec2BertModel"
    ],
    "attention_dropout": 0.0,
    "classifier_proj_size": 768,
    "codevector_dim": 768,
    "conformer_conv_dropout": 0.1,
    "contrastive_logits_temperature": 0.1,
    "conv_depthwise_kernel_size": 31,
    "ctc_loss_reduction": "sum",
    "ctc_zero_infinity": false,
    "diversity_loss_weight": 0.1,
    "dtype": "float32",
    "feat_proj_dropout": 0.0,
    "feat_quantizer_dropout": 0.0,
    "feature_projection_input_dim": 160,
    "final_dropout": 0.1,
    "hidden_act": "swish",
    "hidden_dropout": 0.0,
    "hidden_size": 1024,
    "initializer_range": 0.02,
    "intermediate_size": 4096,
    "layer_norm_eps": 1e-05,
    "layerdrop": 0.1,
    "left_max_position_embeddings": 64,
    "mask_feature_length": 10,
    "mask_feature_min_masks": 0,
    "mask_feature_prob": 0.0,
    "mask_time_length": 10,
    "mask_time_min_masks": 2,
    "mask_time_prob": 0.05,
    "max_source_positions": 5000,
    "model_type": "wav2vec2-bert",
    "num_adapter_layers": 1,
    "num_attention_heads": 16,
    "num_codevector_groups": 2,
    "num_codevectors_per_group": 320,
    "num_hidden_layers": 24,
    "num_negatives": 100,
    "output_hidden_size": 1024,
    "output_hidden_states": true,
    "position_embeddings_type": "relative_key",
    "proj_codevector_dim": 768,
    "right_max_position_embeddings": 8,
    "rotary_embedding_base": 10000,
    "tdnn_dilation": [
      1,
      2,
      3,
      1,
      1
    ],
    "tdnn_dim": [
      512,
      512,
      512,
      512,
      1500
    ],
    "tdnn_kernel": [
      5,
      3,
      3,
      1,
      1
    ],
    "use_intermediate_ffn_before_adapter": false,
    "use_weighted_layer_sum": false,
    "vocab_size": null,
    "xvector_output_dim": 512
  },
  "semantic_model_id": "facebook/w2v-bert-2.0",
  "transformers_version": "4.57.0.dev0",
  "vq_dim": 2048,
  "vq_levels": [
    4,
    4,
    4,
    4,
    4,
    4,
    4,
    4
  ]
}