How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="JuanMa360/room-classification")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification

processor = AutoImageProcessor.from_pretrained("JuanMa360/room-classification")
model = AutoModelForImageClassification.from_pretrained("JuanMa360/room-classification", device_map="auto")
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room-classification

House & Apartaments Classification modelπŸ€—πŸ–ΌοΈ

Example Images

Exterior

Exterior

closets

closets

kitchen

kitchen

others

others

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Model size
85.8M params
Tensor type
F32
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Spaces using JuanMa360/room-classification 3

Evaluation results