Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
Instructions to use abdusah/CarViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/CarViT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="abdusah/CarViT") 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("abdusah/CarViT") model = AutoModelForImageClassification.from_pretrained("abdusah/CarViT") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 16.1 kB
- 7.51 kB
- 10 kB
- 7.67 kB
- 13.8 kB
- 12 kB
- 10.7 kB
- 12.6 kB
- 10.7 kB
- 6.74 kB
- 11.9 kB
- 7.45 kB
- 14.8 kB
- 5.5 kB
- 10.1 kB
- 13 kB
- 8.73 kB
- 9.35 kB
- 9.04 kB
- 14 kB
- 12.4 kB
- 11.5 kB
- 7.71 kB
- 14.4 kB
- 8.7 kB
- 22 kB
- 17 kB
- 19.7 kB
- 10.5 kB
- 14.4 kB
- 10.1 kB
- 10.9 kB
- 10 kB
- 19.4 kB
- 9.9 kB
- 20 kB
- 13.6 kB
- 8.48 kB
- 9.98 kB
- 10.3 kB
- 11.2 kB
- 12.2 kB