Instructions to use hungtu/vinfast-car-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hungtu/vinfast-car-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hungtu/vinfast-car-classifier") 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("hungtu/vinfast-car-classifier") model = AutoModelForImageClassification.from_pretrained("hungtu/vinfast-car-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2361c7bdc0f90ac7873464e805e2c079758f22ead88c27cd833f06838cd8df45
- Size of remote file:
- 343 MB
- SHA256:
- a06aaa969b5c85ca73941a0171df97d618feb6788c28a4a36713f1d3e46632a5
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