Instructions to use ILT37/Image-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ILT37/Image-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ILT37/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("ILT37/Image-classification") model = AutoModelForImageClassification.from_pretrained("ILT37/Image-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5910e053b990a7750f4551fb8da5792e450d29cfcf7af3789c688eea135f1b66
- Size of remote file:
- 1.06 kB
- SHA256:
- 56247b3349547ea82644afccfe004506052b457e363254cda8547006aa0a9fb8
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