Instructions to use prithivMLmods/High_Res-vs-Low_Res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/High_Res-vs-Low_Res with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/High_Res-vs-Low_Res") 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/High_Res-vs-Low_Res") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/High_Res-vs-Low_Res", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c67981724c43de69a0331447a26545905528ea6ff5b8be498ea12a0e40cbee3
- Size of remote file:
- 687 MB
- SHA256:
- 438a5e38cf2cfaf269a8475691006e4eda70a34de9f1e8ded4a422d2ae9e38e5
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