Instructions to use SpotLab/MobileNetClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SpotLab/MobileNetClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SpotLab/MobileNetClassification") 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("SpotLab/MobileNetClassification") model = AutoModelForImageClassification.from_pretrained("SpotLab/MobileNetClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44bd8232772f329de606ae349758099cacfc2183c83ef8e8c900692156ed666c
- Size of remote file:
- 14.2 MB
- SHA256:
- 94f61c6902b411e6b730cfe2443c8b2d983a2d50d289c4bd7083e0583ccdfe76
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