Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results (legacy)
Instructions to use vuongnhathien/SwinV2-30VNFood with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuongnhathien/SwinV2-30VNFood with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vuongnhathien/SwinV2-30VNFood") 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("vuongnhathien/SwinV2-30VNFood") model = AutoModelForImageClassification.from_pretrained("vuongnhathien/SwinV2-30VNFood", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c10b8c9fba71cc87952b30fc5a90d62cdbb1d609d0472c4a8d43fc1bae444b79
- Size of remote file:
- 4.92 kB
- SHA256:
- fe16369dbcd769d8275f06def2227eede1b6e25d6e7c67cef8cbdbb7bf2879c0
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