Image Classification
Transformers
TensorBoard
Safetensors
vit
HHD
3_class
ViT
Generated from Trainer
Instructions to use heado/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heado/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="heado/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("heado/ViT_beans") model = AutoModelForImageClassification.from_pretrained("heado/ViT_beans") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Apr09_22-39-48_eeefc6bd4371
- Apr10_00-16-56_ba23d053c4e4
- Oct31_01-20-57_d46fd65f2a26
- Oct31_01-26-20_d46fd65f2a26
- Oct31_01-28-53_f50eb53ec214
- Oct31_01-59-47_f50eb53ec214
- Sep02_03-26-07_3d244b9d4949
- Sep02_03-36-42_3d244b9d4949
- Sep02_03-45-12_3d244b9d4949
- Sep02_03-54-25_3d244b9d4949
- Sep02_03-55-00_3d244b9d4949
- Sep02_03-55-37_3d244b9d4949
- Sep02_03-59-20_3d244b9d4949