How to use timm/maxxvitv2_rmlp_base_rw_224.sw_in12k with timm:
import timm model = timm.create_model("hf-hub:timm/maxxvitv2_rmlp_base_rw_224.sw_in12k", pretrained=True)
How to use timm/maxxvitv2_rmlp_base_rw_224.sw_in12k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="timm/maxxvitv2_rmlp_base_rw_224.sw_in12k") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("timm/maxxvitv2_rmlp_base_rw_224.sw_in12k", device_map="auto")
