Instructions to use CodeMania/Vehicle_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeMania/Vehicle_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="CodeMania/Vehicle_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("CodeMania/Vehicle_classifier") model = AutoModelForImageClassification.from_pretrained("CodeMania/Vehicle_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bda71820465eb78f0e5fbd741d15fa5408fe664e23c06ea616c5c200d5323233
- Size of remote file:
- 344 MB
- SHA256:
- a16241bf062ccd69f343d3d2e0da2394cedd4b371e6235393435636081c28a77
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