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:
- 8dc9bbdb6f927a2a63e9ed2d3642fc6d49664691e2860bcd2d9f2e61da0a1b63
- Size of remote file:
- 14.6 kB
- SHA256:
- 1dc30cddb28389aa13579bd9af12d97654450670d10b6e9e4f899d012fe78dea
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