Files
2026-07-13 13:25:10 +08:00

30 lines
776 B
Python

import logging
from funasr.models.transformer.model import Transformer
from funasr.register import tables
@tables.register("model_classes", "Branchformer")
class Branchformer(Transformer):
"""Branchformer: Parallel branch encoder architecture.
Uses parallel branches of self-attention and convolution that are
merged via concatenation. Alternative to Conformer with similar accuracy.
Inherits Transformer pipeline for training and inference.
"""
def __init__(
self,
*args,
**kwargs,
):
"""Initialize Branchformer.
Args:
*args: Variable positional arguments.
**kwargs: Additional keyword arguments.
"""
super().__init__(*args, **kwargs)