Instructions to use beomi/beep-klue-roberta-base-hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beomi/beep-klue-roberta-base-hate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="beomi/beep-klue-roberta-base-hate")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("beomi/beep-klue-roberta-base-hate") model = AutoModelForSequenceClassification.from_pretrained("beomi/beep-klue-roberta-base-hate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7350e8418dde2e8deb36c17275871de080910514bfccf54bed8cfb78969acfe
- Size of remote file:
- 443 MB
- SHA256:
- b30ca212f0926d6683d02504342d6eb9d797812e5dbe9da4721e05997012247f
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