Instructions to use beomi/beep-KcELECTRA-base-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/beep-KcELECTRA-base-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beomi/beep-KcELECTRA-base-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beomi/beep-KcELECTRA-base-hate") model = AutoModelForSequenceClassification.from_pretrained("beomi/beep-KcELECTRA-base-hate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d2161b1c6a29768a2d9220b23067ec04f4091c4d529937d9507fb0f3b15f753
- Size of remote file:
- 498 MB
- SHA256:
- b8c50de65420c0c989f2e2e55884e67225f399efb899877945ea401986eea8f0
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