Instructions to use prithivMLmods/Weather-Image-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Weather-Image-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Weather-Image-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/Weather-Image-Classification") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Weather-Image-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3d3678758e131bf9e4a8f729c1dfb79361a1726ab558a00d1e2a87b521c8a685
- Size of remote file:
- 687 MB
- SHA256:
- 7af0077e12250aaff3f15b517233258729adaafea05c41e0cd4143eee92448bf
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