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wavlm-base-plus-sd

Transformers PyTorch English wavlm audio-frame-classification speech Inference Endpoints 4 papers
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wavlm-base-plus-sd
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  "_name_or_path": "microsoft/wavlm-base-plus",
  "activation_dropout": 0.0,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
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  "apply_spec_augment": true,
  "architectures": [
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  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 256,
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  "ctc_loss_reduction": "sum",
  "ctc_zero_infinity": false,
  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": false,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_norm": "group",
  "feat_proj_dropout": 0.1,
  "feat_quantizer_dropout": 0.0,
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  "freeze_feat_extract_train": true,
  "hidden_act": "gelu",
  "hidden_dropout": 0.1,
  "hidden_size": 768,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.05,
  "mask_channel_length": 10,
  "mask_channel_min_space": 1,
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  "mask_time_length": 10,
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  "mask_time_prob": 0.05,
  "mask_time_selection": "static",
  "max_bucket_distance": 800,
  "model_type": "wavlm",
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  "num_adapter_layers": 3,
  "num_attention_heads": 12,
  "num_buckets": 320,
  "num_codevector_groups": 2,
  "num_codevectors_per_group": 320,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 128,
  "num_ctc_classes": 80,
  "num_feat_extract_layers": 7,
  "num_hidden_layers": 12,
  "num_negatives": 100,
  "output_hidden_size": 768,
  "pad_token_id": 0,
  "proj_codevector_dim": 256,
  "replace_prob": 0.5,
  "tdnn_dilation": [
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  ],
  "tdnn_kernel": [
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  ],
  "tokenizer_class": "Wav2Vec2CTCTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.15.0.dev0",
  "use_weighted_layer_sum": true,
  "vocab_size": 32,
  "xvector_output_dim": 512
}