Instructions to use Jan358/Geometric-Shapes-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jan358/Geometric-Shapes-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Jan358/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("Jan358/Geometric-Shapes-Classification") model = AutoModelForImageClassification.from_pretrained("Jan358/Geometric-Shapes-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-375/optimizer.pt from Jan358/Geometric-Shapes-Classification: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/Jan358/Geometric-Shapes-Classification/resolve/main/checkpoint-375/optimizer.pt
- Command line
-
hf download hf://Jan358/Geometric-Shapes-Classification/checkpoint-375/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Jan358/Geometric-Shapes-Classification/resolve/main/checkpoint-375/optimizer.pt
687 MB
- Xet hash:
- acc04893197d82476468e829b7566bde656f835b8e72b214d101af3d7ae6802d
- Size of remote file:
- 687 MB
- SHA256:
- aa188c598b29736f377f9dffe4bd270589b44c7bc79b653779c972bc68163aab
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