Model acquisition method and device, model deployment method and device, equipment and medium

The invention provides a model acquisition method and device, a model deployment method and device, equipment and a medium, and relates to the field of artificial intelligence, in particular to the fields of deep learning, cloud computing and big data. According to the specific implementation scheme, the model processing method comprises the steps that an original graph description file which corresponds to an original model and contains model description information is obtained; carrying out segmentation processing on the original graph description file by adopting a preset segmentation rule to obtain a plurality of segmented sub-graph description files; wherein the preset segmentation rule comprises a plurality of preset constraint conditions, and the plurality of preset constraint conditions are used for balancing resource requirements among different model operators according to the different model operators contained in the sub-graph in each sub-graph description file so as to achieve a preset equilibriu