How to use ashercn97/isaface-v5 with timm:
import timm model = timm.create_model("hf_hub:ashercn97/isaface-v5", pretrained=True)
How to use ashercn97/isaface-v5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ashercn97/isaface-v5") 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-v5", device_map="auto")
https://huggingface.co/ashercn97/isaface-v5/resolve/main/README.md
hf download hf://ashercn97/isaface-v5/README.md
curl -L -o README.md https://huggingface.co/ashercn97/isaface-v5/resolve/main/README.md
tags: - image-classification - timm - transformers library_name: timm license: apache-2.0
