Image Classification
Transformers
Safetensors
segformer
Generated from Trainer
Eval Results (legacy)
Instructions to use hanslab37/architectural_styles_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanslab37/architectural_styles_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hanslab37/architectural_styles_classifier") 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("hanslab37/architectural_styles_classifier") model = AutoModelForImageClassification.from_pretrained("hanslab37/architectural_styles_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Presentation link: https://www.canva.com/design/DAGLBMAs1K4/d8qvLN2nchSYVmnrwYzx0w/edit?utm_content=DAGLBMAs1K4&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton
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You can try the model inference in this link:
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## Intended uses & limitations
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Presentation link: https://www.canva.com/design/DAGLBMAs1K4/d8qvLN2nchSYVmnrwYzx0w/edit?utm_content=DAGLBMAs1K4&utm_campaign=designshare&utm_medium=link2&utm_source=sharebutton
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You can try the model inference in this link: https://huggingface.co/spaces/hanslab37/technospire
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## Intended uses & limitations
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