Instructions to use TheLitttleThings/ArchDaily with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheLitttleThings/ArchDaily with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="TheLitttleThings/ArchDaily") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("TheLitttleThings/ArchDaily") model = AutoModelForZeroShotImageClassification.from_pretrained("TheLitttleThings/ArchDaily", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d8d6823d7a5e08f17589cd22a1608322ee2fbb2af39b83cf96b050a0562c2bb
- Size of remote file:
- 788 MB
- SHA256:
- b1ae5619b0c0979a19f537880b5641b0f5fcdc9c9ff5dfa462f2489c466ddfeb
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