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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9e67fb4f1c440bb48f62d95193a918e658b88e39ace70184a8b48a67aad012b0
- Size of remote file:
- 687 MB
- SHA256:
- 8a3df8e1bba1e9c5943139336eafb3606ed7b61fc75cbe71eda2796ff874e145
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