Instructions to use miittnnss/pet-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use miittnnss/pet-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="miittnnss/pet-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("miittnnss/pet-classifier") model = AutoModelForImageClassification.from_pretrained("miittnnss/pet-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6795c1d727bea36f3314e7ccbd636ee6f62ba8fab795f6c36099da270bb5fd0
- Size of remote file:
- 343 MB
- SHA256:
- d27370b0cde304d6f907e40e6a2d38d54d8e578ea703e9b3570da8c918ec6577
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