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Akashpb13
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ailabs_proj

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Inference Endpoints
Model card Files Community
Akashpb13 commited on
Commit
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1 Parent(s): 9314269

add model

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Files changed (2) hide show
  1. config.json +115 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "activation_dropout": 0.09145432252955588,
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+ "adapter_kernel_size": 3,
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+ "adapter_stride": 2,
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+ "add_adapter": false,
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+ "apply_spec_augment": true,
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+ "architectures": [
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+ "Wav2Vec2ForCTC"
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+ "attention_dropout": 0.015715766711072065,
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+ "bos_token_id": 1,
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+ "classifier_proj_size": 256,
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+ "codevector_dim": 768,
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+ "contrastive_logits_temperature": 0.1,
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+ "conv_bias": true,
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+ "conv_dim": [
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+ "ctc_loss_reduction": "mean",
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+ "ctc_zero_infinity": false,
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+ "diversity_loss_weight": 0.1,
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+ "do_stable_layer_norm": true,
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+ "eos_token_id": 2,
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+ "feat_extract_activation": "gelu",
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+ "feat_extract_dropout": 0.0,
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+ "feat_extract_norm": "layer",
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+ "feat_proj_dropout": 0.07570439532163029,
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+ "feat_quantizer_dropout": 0.0,
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+ "final_dropout": 0.0,
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+ "hidden_act": "gelu",
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+ "hidden_dropout": 0.0006515376406130203,
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+ "hidden_size": 1024,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "layer_norm_eps": 1e-05,
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+ "layerdrop": 0.018085056635857365,
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+ "mask_channel_length": 10,
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+ "mask_channel_min_space": 1,
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+ "mask_channel_other": 0.0,
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+ "mask_channel_prob": 0.0,
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+ "mask_channel_selection": "static",
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+ "mask_time_min_space": 1,
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+ "mask_time_prob": 0.05353409500178331,
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+ "mask_time_selection": "static",
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+ "model_type": "wav2vec2",
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+ "num_adapter_layers": 3,
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+ "num_attention_heads": 16,
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+ "num_codevector_groups": 2,
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+ "num_codevectors_per_group": 320,
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+ "num_conv_pos_embedding_groups": 16,
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+ "num_conv_pos_embeddings": 128,
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+ "num_feat_extract_layers": 7,
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+ "num_hidden_layers": 24,
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+ "num_negatives": 100,
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+ "output_hidden_size": 1024,
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+ "pad_token_id": 27,
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+ "proj_codevector_dim": 768,
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+ "tdnn_dilation": [
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+ "tdnn_dim": [
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+ "tdnn_kernel": [
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.21.1",
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+ "use_weighted_layer_sum": false,
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+ "vocab_size": 28,
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+ "xvector_output_dim": 512
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+ }
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