GigaAM-v3 / config.json
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{
"model_type": "gigaam",
"auto_map": {
"AutoConfig": "modeling_gigaam.GigaAMConfig",
"AutoModel": "modeling_gigaam.GigaAMModel"
},
"cfg": {
"model": {
"cfg": {
"model_class": "rnnt",
"sample_rate": 16000,
"preprocessor": {
"_target_": "modeling_gigaam.FeatureExtractor",
"sample_rate": 16000,
"features": 64,
"win_length": 320,
"hop_length": 160,
"mel_scale": "htk",
"n_fft": 320,
"mel_norm": null,
"center": false
},
"encoder": {
"_target_": "modeling_gigaam.ConformerEncoder",
"feat_in": 64,
"n_layers": 16,
"d_model": 768,
"subsampling_factor": 4,
"ff_expansion_factor": 4,
"self_attention_model": "rotary",
"pos_emb_max_len": 5000,
"n_heads": 16,
"conv_kernel_size": 5,
"flash_attn": false,
"subs_kernel_size": 5,
"subsampling": "conv1d",
"conv_norm_type": "layer_norm"
},
"head": {
"_target_": "modeling_gigaam.RNNTHead",
"decoder": {
"pred_hidden": 320,
"pred_rnn_layers": 1,
"num_classes": 1025
},
"joint": {
"enc_hidden": 768,
"pred_hidden": 320,
"joint_hidden": 320,
"num_classes": 1025
}
},
"decoding": {
"_target_": "modeling_gigaam.RNNTGreedyDecoding",
"vocabulary": null,
"model_path": "tokenizer.model"
},
"model_name": "v3_e2e_rnnt",
"hashes": {
"model": "72e2a9b5c7caad963b2bbfd2f298c252",
"tokenizer": "3b3bf8370e882885d79731592fc99f98"
}
},
"_target_": "modeling_gigaam.GigaAMASR"
}
}
}