# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("amona-io/house_fault_classification")
model = AutoModelForImageClassification.from_pretrained("amona-io/house_fault_classification")Quick Links
์ฃผํ ํ์ ๋ถ๋ฅ
์ฃผํ ์๊ณต ํ ํ์๋ค์ ๋ํ ์นดํ ๊ณ ๋ฆฌ๋ฅผ ๋ถ๋ฅ ํด์ฃผ๋ ๋ชจ๋ธ.
- ๋ถ๋ฅ ๊ฐ๋ฅํ ์นดํ ๊ณ ๋ฆฌ
concentrator_broken: ์ ๊ธฐ์ฝ์ผํธ ํ์
faultyopening: ๋ฌธ์ด๋ฆผ ๋ถ๋
insectscreen_check: ๋ฐฉ์ถฉ๋ง ๋ถ๋
pedal_malfunction: ํ๋ฌ ์๋ ์ค๋ฅ
wall_contamination: ๋ฒฝ์ง ์ค์ผ
wall_crack: ๋ฒฝ ๊ท ์ด
wall_peeloff: ๋ฒฝ์ง ํผ์
waterleak: ์ฒ์ฅ ๋์
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amona-io/house_fault_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")