Instructions to use alealejandro1/ABC_food_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alealejandro1/ABC_food_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="alealejandro1/ABC_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("alealejandro1/ABC_food_model") model = AutoModelForImageClassification.from_pretrained("alealejandro1/ABC_food_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7da1bc57a5a55d04d873ea406a2969afba808c6b90227cd203c3e8f418ebda2f
- Size of remote file:
- 5.3 kB
- SHA256:
- aa44aeb9270575411245009aa99a344c6ef80c0de8e59be41cbf57fe07f76605
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