Instructions to use ShuaHousetable/condition-Kitchen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShuaHousetable/condition-Kitchen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ShuaHousetable/condition-Kitchen") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("ShuaHousetable/condition-Kitchen") model = AutoModelForImageClassification.from_pretrained("ShuaHousetable/condition-Kitchen") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e22d35bbcb77753ddba93102dbdac5d70f8c61cf9b4594f336e51e70f235e815
- Size of remote file:
- 3.45 kB
- SHA256:
- 6b0ecc7475489a5120dea771699e81dd38bacbd229e26e75821e0e248ec57fca
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