Instructions to use orha/cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use orha/cnn with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="orha/cnn") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("orha/cnn", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b3b73a9e4fa1e08134bc66393a0b75b9e6917e48a4dcd332aeb289c7eb049a8
- Size of remote file:
- 46.7 kB
- SHA256:
- 0fb7864e1fcccd268ede94b74022f01bd0e4602a29650f663a3a60e0d4ca8803
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