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m2-bert-80M-8k

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my code:
from transformers import AutoModelForMaskedLM
model = AutoModelForMaskedLM.from_pretrained(
"togethercomputer/m2-bert-80M-8k-retrieval",
trust_remote_code=True
)

and I get this error:
You are using a model of type m2_bert to instantiate a model of type bert. This is not supported for all configurations of models and can yield errors.
ValueError: Unrecognized configuration class <class 'transformers_modules.togethercomputer.m2-bert-80M-8k-retrieval.90e0b28f3382c289cc6c1e92ef53d7dc5a3ec14b.configuration_bert.BertConfig'> for this kind of AutoModel: AutoModelForMaskedLM.
Model type should be one of AlbertConfig, BartConfig, BertConfig, BigBirdConfig, CamembertConfig, ConvBertConfig, Data2VecTextConfig, DebertaConfig, DebertaV2Config, DistilBertConfig, ElectraConfig, ErnieConfig, EsmConfig, FlaubertConfig, FNetConfig, FunnelConfig, IBertConfig, LayoutLMConfig, LongformerConfig, LukeConfig, MBartConfig, MegaConfig, MegatronBertConfig, MobileBertConfig, MPNetConfig, MvpConfig, NezhaConfig, NystromformerConfig, PerceiverConfig, QDQBertConfig, ReformerConfig, RemBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, SqueezeBertConfig, TapasConfig, Wav2Vec2Config, XLMConfig, XLMRobertaConfig, XLMRobertaXLConfig, XmodConfig, YosoConfig.