Instructions to use rshrott/ryan_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rshrott/ryan_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rshrott/ryan_model") 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_model") model = AutoModelForImageClassification.from_pretrained("rshrott/ryan_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d35720e4ab8fc1fd5a262d6950d062c46e58f16cddfdc0f6b726e0fea01d6513
- Size of remote file:
- 4.92 kB
- SHA256:
- 4b9bd30d459fc5892ef11763516a904acad5880d1827a35b0bfd63d669ed2859
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