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:
- 53c48d5886b737289c922a80432dd37828e3135d8c8691fd1602076581df0cbe
- Size of remote file:
- 343 MB
- SHA256:
- 840cf9820c2ae2a806715e34aafa3afd6f95d4064521fca64b1e63e27965e732
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