Candidhd Com 〈REAL • 2025〉

from transformers import BertTokenizer, BertModel

# Load a pre-trained model model = models.resnet50(pretrained=True) candidhd com

from torchvision import models import torch from PIL import Image from torchvision import transforms from transformers import BertTokenizer, BertModel # Load a

tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') model = BertModel.from_pretrained('bert-base-uncased') from transformers import BertTokenizer

# Remove the last layer to get features model.fc = torch.nn.Identity()