Instructions to use asusevski/vit-dog-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asusevski/vit-dog-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="asusevski/vit-dog-classifier") 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("asusevski/vit-dog-classifier") model = AutoModelForImageClassification.from_pretrained("asusevski/vit-dog-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe750f9cee5dfeb16e65722f68dbc123d049aa6adff75599ca1dc5a3a51cc63c
- Size of remote file:
- 3.52 kB
- SHA256:
- d2db9d67cb7121d22131eedad671e6422c7ddf644b48d5b977d2331d3f3d8067
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