Instructions to use lamnt2008/bicycle_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lamnt2008/bicycle_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="lamnt2008/bicycle_base") 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("lamnt2008/bicycle_base") model = AutoModelForImageClassification.from_pretrained("lamnt2008/bicycle_base") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -6
config.json
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"73": "Yamaha-YZF(YZR,FZ,TFX)",
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"8": "HarleyDavidson-Softail",
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"9": "HarleyDavidson-Sportster"
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"73": "Yamaha-YZF(YZR,FZ,TFX)",
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"8": "HarleyDavidson-Softail",
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"9": "HarleyDavidson-Sportster"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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