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:
- d62ae3b4e853e9f1e947cb19e2098ecc6ff8f1288bc4c502fada8eb88b3215a9
- Size of remote file:
- 44.8 MB
- SHA256:
- 32c9525a35996799fe135773d47a535c9260963336836cddaef648f9a00ea46d
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