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:
- c88ac56f15d8b1319f2889c27a4e837991008477992639391ce37a1ed8039973
- Size of remote file:
- 687 MB
- SHA256:
- 4e9f43c3350856d11cb2cdade2cae6e0aa0582985591273eb90b614cfd6b33f6
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