Instructions to use dybdyb/mobilevit-houseplants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dybdyb/mobilevit-houseplants with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="dybdyb/mobilevit-houseplants") 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("dybdyb/mobilevit-houseplants") model = AutoModelForImageClassification.from_pretrained("dybdyb/mobilevit-houseplants", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f2cc218efe997beb7f6093b8e53f92aba1c180d854347091e6bc80155918f13
- Size of remote file:
- 20.1 MB
- SHA256:
- 82f49b6cbf45d8b3a009c31c8eb5cbedcc9a76380179177563f790a71cf93272
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