Instructions to use Jacques7103/Food-Recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jacques7103/Food-Recognition with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jacques7103/Food-Recognition") 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("Jacques7103/Food-Recognition") model = AutoModelForImageClassification.from_pretrained("Jacques7103/Food-Recognition") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9216, | |
| "eval_loss": 0.28460967540740967, | |
| "eval_runtime": 911.0467, | |
| "eval_samples_per_second": 2.744, | |
| "eval_steps_per_second": 0.344 | |
| } |