from funasr.models.e2e_asr_paraformer import Paraformer, BiCifParaformer, ParaformerOnline
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from funasr.export.models.e2e_asr_paraformer import Paraformer as Paraformer_export
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from funasr.export.models.e2e_asr_paraformer import BiCifParaformer as BiCifParaformer_export
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# from funasr.export.models.e2e_asr_conformer import Conformer as Conformer_export
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from funasr.models.e2e_vad import E2EVadModel
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from funasr.export.models.e2e_vad import E2EVadModel as E2EVadModel_export
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from funasr.models.target_delay_transformer import TargetDelayTransformer
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from funasr.export.models.CT_Transformer import CT_Transformer as CT_Transformer_export
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from funasr.train.abs_model import PunctuationModel
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from funasr.models.vad_realtime_transformer import VadRealtimeTransformer
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from funasr.export.models.CT_Transformer import CT_Transformer_VadRealtime as CT_Transformer_VadRealtime_export
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from funasr.export.models.e2e_asr_paraformer import ParaformerOnline_encoder_predictor as ParaformerOnline_encoder_predictor_export
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from funasr.export.models.e2e_asr_paraformer import ParaformerOnline_decoder as ParaformerOnline_decoder_export
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from funasr.export.models.e2e_asr_contextual_paraformer import ContextualParaformer_backbone as ContextualParaformer_backbone_export
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from funasr.export.models.e2e_asr_contextual_paraformer import ContextualParaformer_embedder as ContextualParaformer_embedder_export
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from funasr.models.e2e_asr_contextual_paraformer import NeatContextualParaformer
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def get_model(model, export_config=None):
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if isinstance(model, NeatContextualParaformer):
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backbone = ContextualParaformer_backbone_export(model, **export_config)
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embedder = ContextualParaformer_embedder_export(model, **export_config)
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return [embedder, backbone]
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elif isinstance(model, BiCifParaformer):
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return BiCifParaformer_export(model, **export_config)
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elif isinstance(model, ParaformerOnline):
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encoder = ParaformerOnline_encoder_predictor_export(model, model_name="model")
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decoder = ParaformerOnline_decoder_export(model, model_name="decoder")
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return [encoder, decoder]
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elif isinstance(model, Paraformer):
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return Paraformer_export(model, **export_config)
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# elif isinstance(model, Conformer_export):
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# return Conformer_export(model, **export_config)
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elif isinstance(model, E2EVadModel):
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return E2EVadModel_export(model, **export_config)
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elif isinstance(model, PunctuationModel):
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if isinstance(model.punc_model, TargetDelayTransformer):
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return CT_Transformer_export(model.punc_model, **export_config)
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elif isinstance(model.punc_model, VadRealtimeTransformer):
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return CT_Transformer_VadRealtime_export(model.punc_model, **export_config)
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else:
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raise "Funasr does not support the given model type currently."
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