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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd2d232af33d2a5b00a9feccaf53c99c2834a9e904bc25794c61215b4d8f0169
- Size of remote file:
- 372 MB
- SHA256:
- e1dd179ce7f0b23daacbf158d03c9e453adce0530cfeee6ff45ecc77e6945924
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