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")# pip install -U transformers accelerate # 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
Download optimizer.pt from Abhilashvj/CIRCL_website_classifier_test: direct link, hf CLI and curl.
- Browser
- Download file 89.5 MB
-
https://huggingface.co/Abhilashvj/CIRCL_website_classifier_test/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://Abhilashvj/CIRCL_website_classifier_test@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Abhilashvj/CIRCL_website_classifier_test/resolve/refs%2Fpr%2F1/optimizer.pt
89.5 MB
- Xet hash:
- 17afc69c8a2224085136ce1c2b8ddf4e249bd2f9fa63f2e5740d9ece1fd593e4
- Size of remote file:
- 89.5 MB
- SHA256:
- 3b2a231ff7c6f6c2c9ec3904e67b384be47e20f1733256b888dc3fb39983ece4
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