# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("dsaint31/bb_mlp_224", dtype="auto")Quick Links
Root README
Repo: dsaint31/bb_mlp_224
google/vit-base-patch16-224->models/google__vit-base-patch16-224microsoft/swin-tiny-patch4-window7-224->models/microsoft__swin-tiny-patch4-window7-224microsoft/resnet-50->models/microsoft__resnet-50google/efficientnet-b0->models/google__efficientnet-b0timm/densenet121.tv_in1k->models/timm__densenet121.tv_in1ktorchvision/densenet121->models/torchvision__densenet121
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dsaint31/bb_mlp_224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")