Instructions to use PranomVignesh/Dogs-vs-Racoons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PranomVignesh/Dogs-vs-Racoons with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="PranomVignesh/Dogs-vs-Racoons") 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("PranomVignesh/Dogs-vs-Racoons") model = AutoModelForImageClassification.from_pretrained("PranomVignesh/Dogs-vs-Racoons") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c7edd9aaff1bd1a01ae75cc594a1c8ce6d8362f91a765445cca733cfcc44333a
- Size of remote file:
- 343 MB
- SHA256:
- 3232d01ae14d3d0f8634a6cb2b8db1e36af4746189ed2225975e30f13de2e93e
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