How to use ashercn97/isaface with timm:
import timm model = timm.create_model("hf_hub:ashercn97/isaface", pretrained=True)
How to use ashercn97/isaface with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ashercn97/isaface") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ashercn97/isaface", dtype="auto")
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