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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 079ed706725105a9c5b4f398bbb595992ce0acc121d667cfc2c154438bc109ee
- Size of remote file:
- 1.58 GB
- SHA256:
- 20fdb5c2c4323d207318908a0c1e872739153bd4b1b3f357b7fd7f3270225435
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