Instructions to use ericxlima/DogsClassifierModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericxlima/DogsClassifierModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ericxlima/DogsClassifierModel") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("ericxlima/DogsClassifierModel") model = AutoModel.from_pretrained("ericxlima/DogsClassifierModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2d539d7630cf6ea7b7b3f9f06b541402ca587e773ec68b477328882b84a67ad9
- Size of remote file:
- 46.9 MB
- SHA256:
- cfa7c8de1ae76dd716db88f49fb8555e34c511fd7c311798adac1edcfbb497c7
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