Instructions to use lamnt2008/car_brands_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamnt2008/car_brands_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lamnt2008/car_brands_classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("lamnt2008/car_brands_classification") model = AutoModelForImageClassification.from_pretrained("lamnt2008/car_brands_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from lamnt2008/car_brands_classification: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
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https://huggingface.co/lamnt2008/car_brands_classification/resolve/main/training_args.bin
- Command line
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hf download hf://lamnt2008/car_brands_classification/training_args.bin
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curl -L -o training_args.bin https://huggingface.co/lamnt2008/car_brands_classification/resolve/main/training_args.bin
3.58 kB
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