Instructions to use Tr13/my_food_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tr13/my_food_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Tr13/my_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("Tr13/my_food_model") model = AutoModelForImageClassification.from_pretrained("Tr13/my_food_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75f33bb46ab81aa1301fe994c15551d56d3a143ad72a3ee9546053bd1a15beca
- Size of remote file:
- 5.24 kB
- SHA256:
- 2e345d009f3fa7cc1c0ae197c4bf6974b53da9143b574fb708e690d4bb723166
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