mindformers.models.vit.ViTForImageClassification¶
- class mindformers.models.vit.ViTForImageClassification(config=None)[源代码]¶
Vision Transformer with support for patch or hybrid CNN input stage. The supported model name could be selected from ViTConfig.show_support_list().
- Args:
config (ViTConfig): the config of Vit model.
- Examples:
>>> # input model name, load model and weights >>> model_a = ViTForImageClassification.from_pretrained('vit_base_p16') >>> # input config, load model without weights >>> from mindformers import AutoConfig >>> config = AutoConfig.from_pretrained('vit_base_p16') >>> model_b = ViTForImageClassification(config)