Instructions to use Luke537/image_classification_food_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Luke537/image_classification_food_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Luke537/image_classification_food_model") 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("Luke537/image_classification_food_model") model = AutoModelForImageClassification.from_pretrained("Luke537/image_classification_food_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 063f8b8d1ec3d26a1e92ad983ddb7ebebd08bf50c223d7516e8071e8fb69babc
- Size of remote file:
- 3.96 kB
- SHA256:
- a1ee3f8fbd11f414b411adb4d0dd13269cc8b8724365f2c3cdb212fc46ca97e2
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