Instructions to use fcfrank10/food_classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fcfrank10/food_classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fcfrank10/food_classification_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("fcfrank10/food_classification_model") model = AutoModelForImageClassification.from_pretrained("fcfrank10/food_classification_model") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 2
Browse files
model.safetensors
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runs/May19_11-48-03_MBPdideveloper.homenet.telecomitalia.it/events.out.tfevents.1716112148.MBPdideveloper.homenet.telecomitalia.it.3462.0
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