Image Classification
Transformers
PyTorch
TensorBoard
vit
vision
Generated from Trainer
Eval Results (legacy)
Instructions to use yuchengt/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuchengt/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yuchengt/vit-base-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("yuchengt/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("yuchengt/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
1d96cf8 -
End of training
6ad2645 -
update model card README.md
b82816d -
Model save
97d4459
-
update model card README.md
1360537 -
End of training
fefe621 -
update model card README.md
0d121fb -
Model save
4cbafb2 -
Training in progress, epoch 5
505e052 -
Training in progress, epoch 4
c847d42 -
Training in progress, epoch 3
f66af72 -
Training in progress, epoch 2
685077f -
Training in progress, epoch 1
03720a9 -
initial commit
68d58a0