Instructions to use rshrott/ryan_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rshrott/ryan_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rshrott/ryan_model2") 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("rshrott/ryan_model2") model = AutoModelForImageClassification.from_pretrained("rshrott/ryan_model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 158cc41829e8529a350c1427ff82b3ccccaec101996cb53f29351e3c529e5bda
- Size of remote file:
- 4.92 kB
- SHA256:
- 7e62e08dd14da53a197f068aae7934e52755eba0f8e784eca0d141612f318f2c
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