Instructions to use davanstrien/red-squirrel-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/red-squirrel-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("object-detection", model="davanstrien/red-squirrel-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForObjectDetection tokenizer = AutoTokenizer.from_pretrained("davanstrien/red-squirrel-detector") model = AutoModelForObjectDetection.from_pretrained("davanstrien/red-squirrel-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 48e718fd0a6e544da0a295532052866c10191b24ae10e49018c0026db2ef5a4f
- Size of remote file:
- 5.33 kB
- SHA256:
- 29d93c8618ebe8c8cca1c28d6fd3609afef6c2d0e88e4d19b6499988b0383d3f
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