Image Classification
Transformers
TensorBoard
Safetensors
vit
SGH
3_class
ViT
Generated from Trainer
Instructions to use Uniteworker/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Uniteworker/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Uniteworker/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("Uniteworker/ViT_beans") model = AutoModelForImageClassification.from_pretrained("Uniteworker/ViT_beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b56ecae710426ed5c1d98bb380064d53ccfaf80530a924fc46144e75e560942a
- Size of remote file:
- 343 MB
- SHA256:
- 4353f877aa9e4c24075287c0972bca5f87a2282c50503810072355f3f448cf86
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