Instructions to use corranm/squarerun_large_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use corranm/squarerun_large_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="corranm/squarerun_large_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("corranm/squarerun_large_model") model = AutoModelForImageClassification.from_pretrained("corranm/squarerun_large_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ebc79fdc96da5b5c5cbf38cb5c4ea52255e76758ea432b246dd2128940f62eb
- Size of remote file:
- 1.21 GB
- SHA256:
- 42c65d8e1d6418f6c7639f0a38bba5aa15596f677824fdee5da51ec2acbfe76c
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