# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("robosapiens/room-styles")
model = AutoModelForImageClassification.from_pretrained("robosapiens/room-styles")Quick Links
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model-index:
- name: room-styles
results:
- task:
name: Image Classification
type: image-classification
metrics:
- name: Accuracy type: accuracy value: 0.4196428656578064
- task:
name: Image Classification
type: image-classification
metrics:
- Downloads last month
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="robosapiens/room-styles") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")