Instructions to use corranm/squarerun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use corranm/squarerun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="corranm/squarerun") 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") model = AutoModelForImageClassification.from_pretrained("corranm/squarerun") - Notebooks
- Google Colab
- Kaggle
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README.md
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model-index:
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.48.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model-index:
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- name: squarerun
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results: []
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datasets:
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- corranm/first_vote_100_full_pic_without_vote_highlight_square
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- Transformers 4.48.1
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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