Instructions to use Abhilashvj/CIRCL_website_classifier_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Abhilashvj/CIRCL_website_classifier_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Abhilashvj/CIRCL_website_classifier_test") 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("Abhilashvj/CIRCL_website_classifier_test") model = AutoModelForImageClassification.from_pretrained("Abhilashvj/CIRCL_website_classifier_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2db5dab9e1ad498db88af4fe69c5d8b67aeecb24113fa115c20a84ba92f0e48c
- Size of remote file:
- 3.96 kB
- SHA256:
- 43ac4a09e13a84f09f0bd63e0fc613fec1a6eadc7232ccb73bb79a1ca64438e1
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