o
    ߥi                     @   s   d dl mZ d dl mZ d dlmZ d dlmZ d dlm	Z	 d dl
mZ G dd dZe	jejejd	G d
d deeeZdS )    )BloomConfig)
BloomModel)Models)
TorchModel)	BACKBONES)Tasksc                       s    e Zd Ze fddZ  ZS )MsModelMixinc                    s\   | dd}| dd |du rtdi |}| |}ntt| jdd|i|}||_|S )a%  Instantiate the model.
        Args:
            kwargs: Input args.
                    model_dir: The model dir used to load the checkpoint and the label information.
        Returns:
            The loaded model, which is initialized by transformers.PreTrainedModel.from_pretrained
        	model_dirNdevicepretrained_model_name_or_path )popr   superr   from_pretrainedr	   )clskwargsr	   configmodel	__class__r   X/home/ubuntu/.local/lib/python3.10/site-packages/modelscope/models/nlp/bloom/backbone.py_instantiate   s   

zMsModelMixin._instantiate)__name__
__module____qualname__classmethodr   __classcell__r   r   r   r   r      s    r   )	group_keymodule_namec                   @   s   e Zd ZdS )r   N)r   r   r   r   r   r   r   r   #   s    r   N)transformersr   r   BloomModelTransformmodelscope.metainfor   modelscope.modelsr   modelscope.models.builderr   modelscope.utils.constantr   r   register_modulebackbonebloomr   r   r   r   <module>   s   