Instructions to use Unggi/hate_speech_classifier_KcElectra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Unggi/hate_speech_classifier_KcElectra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Unggi/hate_speech_classifier_KcElectra")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Unggi/hate_speech_classifier_KcElectra") model = AutoModelForSequenceClassification.from_pretrained("Unggi/hate_speech_classifier_KcElectra", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete tokenizer.json
Browse files- tokenizer.json +0 -0
tokenizer.json
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