Instructions to use Matthijs/mobilenet_v2_0.75_160 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/mobilenet_v2_0.75_160 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Matthijs/mobilenet_v2_0.75_160") 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("Matthijs/mobilenet_v2_0.75_160") model = AutoModelForImageClassification.from_pretrained("Matthijs/mobilenet_v2_0.75_160", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Matthijs/mobilenet_v2_0.75_160: direct link, hf CLI and curl.
- Browser
- Download file 10.8 MB
-
https://huggingface.co/Matthijs/mobilenet_v2_0.75_160/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Matthijs/mobilenet_v2_0.75_160/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Matthijs/mobilenet_v2_0.75_160/resolve/main/pytorch_model.bin
10.8 MB
- Xet hash:
- 624feb5ea863722a0e4bc751f8b4156e1462e8f00fd072d303c02cb96921fc38
- Size of remote file:
- 10.8 MB
- SHA256:
- 963ae7c2b05f7ead5130bcc8d28e67bb5bafaf44bc51312f94e62c2d9e20cc66
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