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| import logging
|
| import torch
|
| from funasr.models.transformer.model import Transformer
| from funasr.utils.register import register_class, registry_tables
|
| @register_class("model_classes", "Conformer")
| class Conformer(Transformer):
| """CTC-attention hybrid Encoder-Decoder model"""
|
|
| def __init__(
| self,
| *args,
| **kwargs,
| ):
|
| super().__init__(*args, **kwargs)
|
|
