Instructions to use prithivMLmods/SAT-Landforms-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/SAT-Landforms-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/SAT-Landforms-Classifier") 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/SAT-Landforms-Classifier") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/SAT-Landforms-Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 728f403cf28b4f16870ab26693cd7bb6d589876d49be9fb02e7d72aa121c23ca
- Size of remote file:
- 372 MB
- SHA256:
- 7775aca0d7ea8f81aeafdfbcf8f3173b563a75612523fe9837f6805c3a82f028
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