Image Classification
Transformers
TensorBoard
Safetensors
vit
CJH
3_class
ViT
beans
Generated from Trainer
Instructions to use cjhan5696/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cjhan5696/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cjhan5696/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("cjhan5696/ViT_beans") model = AutoModelForImageClassification.from_pretrained("cjhan5696/ViT_beans") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 241aeb3e6530c576ab710db593d59a1ae9cab546c807bfb15ac76c861942cca2
- Size of remote file:
- 5.37 kB
- SHA256:
- 1663bcfaca15fdc8ff1641cad3e3b8574a9fc1d92353b4c0dba17cb9b4f63814
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