Instructions to use google/mobilenet_v2_1.0_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mobilenet_v2_1.0_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/mobilenet_v2_1.0_224") 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("google/mobilenet_v2_1.0_224") model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v2_1.0_224") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b750c5c2ee1cf8e52e3b76a07859e1c2145ff8f251246a0f7c3be32486288b0c
- Size of remote file:
- 14.3 MB
- SHA256:
- b94d2769cf0df3a0a98ed81648d2cff96d602cb4a8b0b871f631621b75ad8bd3
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