Instructions to use google/mobilenet_v2_1.4_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mobilenet_v2_1.4_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/mobilenet_v2_1.4_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_1.4_224") model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v2_1.4_224") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c44c0b4d08ba7e505394f6ba727e6d1e3c608a1f84bdd345f2e63e832b2ff0d
- Size of remote file:
- 24.7 MB
- SHA256:
- a5c7f052fbbaf60880d9f9dbc12550e5ddb4375f9b8a96cc1d488103689b6ec6
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