Instructions to use beomi/korean-hatespeech-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/korean-hatespeech-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beomi/korean-hatespeech-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beomi/korean-hatespeech-classifier") model = AutoModelForSequenceClassification.from_pretrained("beomi/korean-hatespeech-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a437901f020bbb876562461e9479ad03b47e1c8d0dc100bd70aeb098c582fec9
- Size of remote file:
- 498 MB
- SHA256:
- 5d01bace4832b950ce77e948cf409023172c0eced0ba988591698abb2f6223b4
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