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configuration_bionexttager.py
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@@ -24,13 +24,5 @@ class BioNextTaggerConfig(PretrainedConfig):
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self.crf_reduction = crf_reduction
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super().__init__(**kwargs)
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print(f"model_path {self._name_or_path}", flush=True)
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backbonemodel_cfg = AutoConfig.from_pretrained(self._name_or_path,
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trust_remote_code=True)#.to_dict()
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for k in backbonemodel_cfg.to_dict():
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if hasattr(self, k):
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setattr(backbonemodel_cfg,k, getattr(self,k))
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#print("BACKend config end?", flush=True)
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return backbonemodel_cfg
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self.crf_reduction = crf_reduction
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super().__init__(**kwargs)
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modeling_bionexttagger.py
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@@ -23,7 +23,7 @@ class BioNextTaggerModel(PreTrainedModel):
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super().__init__(config)
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self.num_labels = config.num_labels
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#print("LOAD BERT?", flush=True)
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self.bert = BertModel(config
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#AutoModel.from_pretrained(config._name_or_path,
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# config=config.get_backbonemodel_config(),
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# add_pooling_layer=False)
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super().__init__(config)
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self.num_labels = config.num_labels
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#print("LOAD BERT?", flush=True)
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self.bert = BertModel(config, add_pooling_layer=False)
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#AutoModel.from_pretrained(config._name_or_path,
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# config=config.get_backbonemodel_config(),
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# add_pooling_layer=False)
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