Image Classification
Transformers
TensorBoard
Safetensors
vit
LMH
3_class
ViT
Generated from Trainer
Instructions to use HanDaeYu/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HanDaeYu/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HanDaeYu/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("HanDaeYu/ViT_beans") model = AutoModelForImageClassification.from_pretrained("HanDaeYu/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9737f595270633fa33fc38bfae5ecc771fc6d3245c69a14435dd21ff5715d8f3
- Size of remote file:
- 343 MB
- SHA256:
- 59f95ffa2e38b58d85dcd4a3ed8f03c0aeb960cbe15a52b3ffd0065833055938
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