Instructions to use prithivMLmods/Geometric-Shapes-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Geometric-Shapes-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Geometric-Shapes-Classification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Geometric-Shapes-Classification") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Geometric-Shapes-Classification") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb16b1777eaa69ecc62e3dd9f43554cd58f6a15e2262c0f621fad0d2bffe814e
- Size of remote file:
- 372 MB
- SHA256:
- a134585cac12e3065d395f47c8f7a50916ed236e6752f94152d5b1466ed6631c
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