Image Classification
Transformers
TensorBoard
Safetensors
vit
HHD
3_class
ViT
Generated from Trainer
Instructions to use myonghyun/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use myonghyun/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="myonghyun/ViT_beans") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("myonghyun/ViT_beans") model = AutoModelForImageClassification.from_pretrained("myonghyun/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from myonghyun/ViT_beans: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/myonghyun/ViT_beans/resolve/main/training_args.bin
- Command line
-
hf download hf://myonghyun/ViT_beans/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/myonghyun/ViT_beans/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- f176c02952d7aacae6055ac2e6538b93b73f14d01d2b7a077183877d83240c72
- Size of remote file:
- 5.37 kB
- SHA256:
- 180bfe0203b946879226f7e784a4e87dee0bbd73ed53714b8767f614b1c46b7f
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