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I am obtaining this error:

AttributeError: 'MERTConfig' object has no attribute 'conv_pos_batch_norm'

in

transformers/src/transformers/models/hubert/modeling_hubert.py:275: in init
if config.conv_pos_batch_norm:

self = MERTConfig {
"_attn_implementation_autoset": true,
"activation_dropout": 0.0,
"apply_spec_augment": true,
"arc...ch_dtype": "float32",
"transformers_version": "4.50.0.dev0",
"use_weighted_layer_sum": false,
"vocab_size": 32
}

key = 'conv_pos_batch_norm'

def __getattribute__(self, key):
    if key != "attribute_map" and key in super().__getattribute__("attribute_map"):
        key = super().__getattribute__("attribute_map")[key]

  return super().__getattribute__(key)

E AttributeError: 'MERTConfig' object has no attribute 'conv_pos_batch_norm

when running the example in the README.md.

Python 3.12.3
Pytorch:
torch.version
'2.6.0+cu124'

transformers:
transformers.version
'4.50.0.dev0'