Instructions to use uisikdag/deit-base-patch16-224-plant-seedling-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uisikdag/deit-base-patch16-224-plant-seedling-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="uisikdag/deit-base-patch16-224-plant-seedling-classification") 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("uisikdag/deit-base-patch16-224-plant-seedling-classification") model = AutoModelForImageClassification.from_pretrained("uisikdag/deit-base-patch16-224-plant-seedling-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0fbb58800f06da1a5e1f5bdfc93d85cef665173e23b6b4d3fc2ff0d5d66a8af5
- Size of remote file:
- 3.45 kB
- SHA256:
- 28376e9a583a940d63e94b74e69189500450db41dbd9c919576da0f1526b4996
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