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
File size: 129 Bytes
3c8fb47 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fe16369dbcd769d8275f06def2227eede1b6e25d6e7c67cef8cbdbb7bf2879c0
size 4920
|