Instructions to use Prachi1234/corn_leaf_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prachi1234/corn_leaf_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Prachi1234/corn_leaf_detector") 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("Prachi1234/corn_leaf_detector") model = AutoModelForImageClassification.from_pretrained("Prachi1234/corn_leaf_detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54510b4e3003ee77de12cb80f5294250881b217b6a91c3e77e6c36b512f1837f
- Size of remote file:
- 347 MB
- SHA256:
- d8139dd16de624b68ee742b8d1c3f7953eb4021bc6e7e1a4476b80e62ed0c9f7
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