Image Classification
Transformers
TensorBoard
Safetensors
vit
food
fruits
junkfood
Generated from Trainer
Instructions to use gutkia01/vit-food-classification-gutkia01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gutkia01/vit-food-classification-gutkia01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gutkia01/vit-food-classification-gutkia01") 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("gutkia01/vit-food-classification-gutkia01") model = AutoModelForImageClassification.from_pretrained("gutkia01/vit-food-classification-gutkia01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- imagefolder
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model-index:
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- name: vit-food-classification-gutkia01
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- imagefolder
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model-index:
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- name: vit-food-classification-gutkia01
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: image
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9998
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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