Instructions to use amaye15/google-siglip-base-patch16-224-batch64-lr5e-05-standford-dogs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amaye15/google-siglip-base-patch16-224-batch64-lr5e-05-standford-dogs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amaye15/google-siglip-base-patch16-224-batch64-lr5e-05-standford-dogs") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("amaye15/google-siglip-base-patch16-224-batch64-lr5e-05-standford-dogs") model = AutoModelForImageClassification.from_pretrained("amaye15/google-siglip-base-patch16-224-batch64-lr5e-05-standford-dogs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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