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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99461c7e28fce227837aaaa13177163fc761c33708a1e138c626201969e97632
- Size of remote file:
- 5.3 kB
- SHA256:
- 257ee6518ff12f4a25db68491a875c1516136684318f2995c2f0fbe07ac7602e
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