Image Classification
Transformers
TensorBoard
Safetensors
vit
LMH
3_class
ViT
Generated from Trainer
Instructions to use CometAve/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CometAve/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="CometAve/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("CometAve/ViT_beans") model = AutoModelForImageClassification.from_pretrained("CometAve/ViT_beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae955aaadec4b83967b8ee12703ec7bac87f6919eafe39a6459e15a20cc9e17
- Size of remote file:
- 5.18 kB
- SHA256:
- 3a20d42fdf7ec9a087c7d9c1886d59bc2bb6a5d624bed071963e8b01a6bf5443
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