Instructions to use Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base") model = AutoModelForSequenceClassification.from_pretrained("Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hyeonseo/ko-clickbait_news_classifier-KcELECTRA-base/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- 61a5d81deed43b62320857b1de61802aea598ba7aea6ffc7d78acdec7330ef77
- Size of remote file:
- 436 MB
- SHA256:
- a597128fba87ec468b8cdbaf33235428599034fb0119b74888556b34426f5231
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