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sew-d-tiny-100k

Feature Extraction Transformers PyTorch Safetensors
English sew-d speech Inference Endpoints
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sew-d-tiny-100k
File size: 1,763 Bytes 
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{
  "activation_dropout": 0.0,
  "apply_spec_augment": true,
  "architectures": [
    "SEWDModel"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "conv_bias": false,
  "conv_dim": [
    64,
    128,
    128,
    128,
    128,
    256,
    256,
    256,
    256,
    512,
    512,
    512,
    512
  ],
  "conv_kernel": [
    10,
    3,
    1,
    3,
    1,
    3,
    1,
    3,
    1,
    2,
    1,
    2,
    1
  ],
  "conv_stride": [
    5,
    2,
    1,
    2,
    1,
    2,
    1,
    2,
    1,
    2,
    1,
    2,
    1
  ],
  "ctc_loss_reduction": "sum",
  "ctc_zero_infinity": false,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_norm": "group",
  "feat_proj_dropout": 0.1,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "final_dropout": 0.0,
  "hidden_act": "gelu_python",
  "hidden_dropout": 0.1,
  "hidden_size": 384,
  "initializer_range": 0.02,
  "intermediate_size": 1536,
  "layer_norm_eps": 1e-07,
  "layerdrop": 0.05,
  "mask_feature_length": 10,
  "mask_feature_prob": 0.0,
  "mask_time_length": 10,
  "mask_time_prob": 0.65,
  "max_position_embeddings": 512,
  "model_type": "sew-d",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 6,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 31,
  "num_feat_extract_layers": 13,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "squeeze_factor": 2,
  "tokenizer_class": "Wav2Vec2CTCTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.12.0.dev0",
  "use_weighted_layer_sum": false,
  "feature_layer_norm_eps": 1e-05
}