Instructions to use JuanMa360/room-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JuanMa360/room-classification with Transformers:
# 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") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (12911f3b4b13d5eef28810609c27891cb97b2661) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>da3d016
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (7459147bb641b17e47a671785b86c7337377a63e) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>b22fe4a -
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