Instructions to use Unggi/ko_hate_speech_KcELECTRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unggi/ko_hate_speech_KcELECTRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Unggi/ko_hate_speech_KcELECTRA")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Unggi/ko_hate_speech_KcELECTRA") model = AutoModelForSequenceClassification.from_pretrained("Unggi/ko_hate_speech_KcELECTRA") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d02d477f38b0950b733f6165e8aa18b58fdb0319666360ae49b719b4b2486ad6
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size 498214576
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