Image Classification
Transformers
TensorBoard
Safetensors
vit
LMH
3_class
VIT
Generated from Trainer
Instructions to use Shinee21/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shinee21/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Shinee21/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("Shinee21/ViT_beans") model = AutoModelForImageClassification.from_pretrained("Shinee21/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1502516a1a1b63e4f5b33ee4e269052799d3203f23b51b531fa8d44d66163eea
- Size of remote file:
- 5.18 kB
- SHA256:
- 876958a90f9f061a64c68d411b019896e3b9e4fc686fef0a24b7a5adddeefe7e
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