Instructions to use google/mobilenet_v1_1.0_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/mobilenet_v1_1.0_224 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="google/mobilenet_v1_1.0_224") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("google/mobilenet_v1_1.0_224") model = AutoModelForImageClassification.from_pretrained("google/mobilenet_v1_1.0_224", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c9a8c4531211298b5f25c59bb1a72b720c6b8a9a2667d960b7d95dade49e3d8
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size 17037932
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