Instructions to use AishaKanwal/ModelsClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AishaKanwal/ModelsClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AishaKanwal/ModelsClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("AishaKanwal/ModelsClassification") model = AutoModelForImageClassification.from_pretrained("AishaKanwal/ModelsClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e310536896f8920ace3dba6efb8d4878585f58c055c572e65c8d271e3a664796
- Size of remote file:
- 230 MB
- SHA256:
- 04dda92f8b4f46197b17bb89548a3386f390614b0d6671dfe5a15bca97d3c3c5
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