How to use Mooshie/swinv2_base_window8_256.dbv4-full with timm:
import timm model = timm.create_model("hf_hub:Mooshie/swinv2_base_window8_256.dbv4-full", pretrained=True)
How to use Mooshie/swinv2_base_window8_256.dbv4-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mooshie/swinv2_base_window8_256.dbv4-full") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Mooshie/swinv2_base_window8_256.dbv4-full", dtype="auto")
