Image Classification
Transformers
TensorBoard
Safetensors
vit
LMH
3_class
ViT
Generated from Trainer
Instructions to use 2todeux/ViT_beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2todeux/ViT_beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="2todeux/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("2todeux/ViT_beans") model = AutoModelForImageClassification.from_pretrained("2todeux/ViT_beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 40c4efee71056bbdb18fd39c5a6cfee5bade532a55b9324f31ce9ba65f82f771
- Size of remote file:
- 343 MB
- SHA256:
- 9f0b4e59a4cc6a03ac86040591ca021c22cf7f90f18d59912f2685c245a2f213
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