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
- Xet hash:
- 986c7caaaa8d665a85be09bc9504a14670573da6c88792e85ee53f6f165d86d0
- Size of remote file:
- 5.24 kB
- SHA256:
- 61787ae4a34b19d0e64322562c75da416983fa66b9fafd7d1ed8d7aea320acb2
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