Instructions to use google/mobilenet_v2_0.35_96 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mobilenet_v2_0.35_96 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/mobilenet_v2_0.35_96") 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_0.35_96") model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v2_0.35_96") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7823579739ae2aa2ea43dc221c05831d0206c2a3428418e01cccc21d43daf5f8
- Size of remote file:
- 6.87 MB
- SHA256:
- 756b6a6f9ff64263bd1786d514667f163aa4d0dae9f50b5ceeccf91f35cbace7
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