Instructions to use giswqs/my_awesome_food_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use giswqs/my_awesome_food_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="giswqs/my_awesome_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("giswqs/my_awesome_food_model") model = AutoModelForImageClassification.from_pretrained("giswqs/my_awesome_food_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eef986901f3e6ecbfbbf2f8c95c93216033f3a0a574762d24d7fcc04de3c2559
- Size of remote file:
- 5.11 kB
- SHA256:
- 6d2113b5405121bd5e2d5cb3c6b3c5ad716dfe4e217323a0c06905ce603abc33
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