Instructions to use MarkJeong/aihub_food_poc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MarkJeong/aihub_food_poc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="MarkJeong/aihub_food_poc") 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("MarkJeong/aihub_food_poc") model = AutoModelForImageClassification.from_pretrained("MarkJeong/aihub_food_poc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09a4e3cb3fb8bcdfcdc1fa65944b3161e20db2877342d1cb6dd96cc63be11a53
- Size of remote file:
- 3.44 kB
- SHA256:
- 9bef9b2452da889ad2ec7c3767f8bd22e033f9c34ae19521efb8dfe68c22b4ce
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