Instructions to use harriskr14/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harriskr14/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="harriskr14/image_classification") 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("harriskr14/image_classification") model = AutoModelForImageClassification.from_pretrained("harriskr14/image_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65fcd7ac8422e200254fd8aa44984d6da1e13a01368c83ef273b9238d60e61af
- Size of remote file:
- 5.71 kB
- SHA256:
- 98308473be3b6d938beed504dbfb517366b369744dd5a048e40ae1add6cfaa3e
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