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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f05ea296376a849c107595ff3f1dab204b8c79ce86c5cf5cb8ecd901c6caec3
- Size of remote file:
- 5.37 kB
- SHA256:
- 1813ae3d00a8518c784023d2cf6137031350d68acec3a378ce749f8a5338eae8
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