Instructions to use dima806/farm_insects_image_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dima806/farm_insects_image_detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dima806/farm_insects_image_detection") 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("dima806/farm_insects_image_detection") model = AutoModelForImageClassification.from_pretrained("dima806/farm_insects_image_detection") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c47c7aa7c28ed1be056e547dbfde1d20086e886684ab7f1e3aa701f6ba8ae172
- Size of remote file:
- 4.41 kB
- SHA256:
- ff28d4f001ca94284d2bd6b580fa8e0a630c670da25ae72ed6ffc3dccde5b954
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