How to use Runnies23/Runnies23maxxvitv2_rmlp_base_rw_224.sw_in12k_liver_hsitopathlogy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Runnies23/Runnies23maxxvitv2_rmlp_base_rw_224.sw_in12k_liver_hsitopathlogy") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Runnies23/Runnies23maxxvitv2_rmlp_base_rw_224.sw_in12k_liver_hsitopathlogy") model = AutoModelForImageClassification.from_pretrained("Runnies23/Runnies23maxxvitv2_rmlp_base_rw_224.sw_in12k_liver_hsitopathlogy")
How to use Runnies23/Runnies23maxxvitv2_rmlp_base_rw_224.sw_in12k_liver_hsitopathlogy with timm:
import timm model = timm.create_model("hf_hub:Runnies23/Runnies23maxxvitv2_rmlp_base_rw_224.sw_in12k_liver_hsitopathlogy", pretrained=True)
