How to use ATH-MaaS/TextVerifier-CJK-CLIP with timm:
import timm model = timm.create_model("hf-hub:ATH-MaaS/TextVerifier-CJK-CLIP", pretrained=True)
How to use ATH-MaaS/TextVerifier-CJK-CLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ATH-MaaS/TextVerifier-CJK-CLIP") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ATH-MaaS/TextVerifier-CJK-CLIP", device_map="auto")
