Image Classification
Transformers
TensorBoard
Safetensors
vit
beans
3_class
ViT
Generated from Trainer
Instructions to use eedeedeed/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eedeedeed/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="eedeedeed/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("eedeedeed/ViT_beans") model = AutoModelForImageClassification.from_pretrained("eedeedeed/ViT_beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f373a1ea851aa21425a656c3d4da890c15aedec87b6eae912fbe9c60d5be12e
- Size of remote file:
- 5.18 kB
- SHA256:
- a6f09b9568a26b833c5546500b90ca6602527979fc5df221adfd0dbeab8d7979
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