Instructions to use Tr13/MobileViT_Food_80epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tr13/MobileViT_Food_80epoch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Tr13/MobileViT_Food_80epoch") 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("Tr13/MobileViT_Food_80epoch") model = AutoModelForImageClassification.from_pretrained("Tr13/MobileViT_Food_80epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3769345c3460ef8d3b6b52be70223f3df3dbd5fb0c0db8f81c7865547298f73
- Size of remote file:
- 5.24 kB
- SHA256:
- be3064749910f3cb8da54f8b9e1baf9db92813e9820e90ddc2d0c2107a475ae7
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