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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17afc69c8a2224085136ce1c2b8ddf4e249bd2f9fa63f2e5740d9ece1fd593e4
- Size of remote file:
- 89.5 MB
- SHA256:
- 3b2a231ff7c6f6c2c9ec3904e67b384be47e20f1733256b888dc3fb39983ece4
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