Instructions to use sngsfydy/MobileNet_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sngsfydy/MobileNet_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sngsfydy/MobileNet_v2") 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("sngsfydy/MobileNet_v2") model = AutoModelForImageClassification.from_pretrained("sngsfydy/MobileNet_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c410582585541fa0f07695c9158d00874eafedb6f61587de618078727816d7b
- Size of remote file:
- 9.17 MB
- SHA256:
- dbacf9a3ae4ef9cc53daa0b01e04b77d5b460310869fdde104143b3abc35fe02
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