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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ca30360e858971c5a1283d48b9ce883c79a3aed8e96a69503d9edaa0170684e
- Size of remote file:
- 10.9 MB
- SHA256:
- 9350e5698eeca8876db00e8434d84602138d496ff1ae47398568b462d37c4dfd
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