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:
- fc934779627ae09918e599c74f4ba6cd416a09ec617d2ce152aef857e9c44b00
- Size of remote file:
- 372 MB
- SHA256:
- 633178e6e1031b6503d02c6700df76e2a14f39df1871ce07c5d704a474e2d098
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