import torch | |
import timm | |
from transformers import PreTrainedModel | |
from .configuration_vitmodel import ViTConfig | |
class VitMemModel(PreTrainedModel): | |
config_class = ViTConfig | |
def __init__(self, config: ViTConfig): | |
super().__init__(config) | |
self.model = timm.create_model("vit_base_patch16_224_miil", pretrained=False, num_classes=1) | |
def forward(self, tensor, labels=None): | |
vitfeat = self.model(tensor) | |
out = torch.sigmoid(vitfeat) | |
return out |