How to use Mooshie/caformer_b36.dbv4-full with timm:
import timm model = timm.create_model("hf_hub:Mooshie/caformer_b36.dbv4-full", pretrained=True)
How to use Mooshie/caformer_b36.dbv4-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mooshie/caformer_b36.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/caformer_b36.dbv4-full", device_map="auto")
https://huggingface.co/Mooshie/caformer_b36.dbv4-full/resolve/main/sample.webp
hf download hf://Mooshie/caformer_b36.dbv4-full/sample.webp
curl -L -o sample.webp https://huggingface.co/Mooshie/caformer_b36.dbv4-full/resolve/main/sample.webp
