Image Classification
Transformers
TensorBoard
Safetensors
vit
YJM
3_class
ViT
Generated from Trainer
Instructions to use j200chi/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use j200chi/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="j200chi/ViT_beans") 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("j200chi/ViT_beans") model = AutoModelForImageClassification.from_pretrained("j200chi/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 752388eddbdb6234faf4369379021776bd9c8d307563cd6d04018695427024f7
- Size of remote file:
- 5.37 kB
- SHA256:
- b925051c66fa196ab7b0b7749c2f84ab84b72840648e427e24711d2af6a9475c
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