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
Commit ·
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Parent(s): c4db8b9
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eval_results.json
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"epoch": 4.0,
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"eval_accuracy": 0.
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"eval_samples_per_second": 2.
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9216,
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"eval_loss": 0.28460967540740967,
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"eval_runtime": 911.0467,
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"eval_samples_per_second": 2.744,
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"eval_steps_per_second": 0.344
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}
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