Instructions to use hanseokhyeon/bert-badword-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hanseokhyeon/bert-badword-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hanseokhyeon/bert-badword-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hanseokhyeon/bert-badword-base") model = AutoModelForSequenceClassification.from_pretrained("hanseokhyeon/bert-badword-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fbd9c73f2ecce1f332259c7cdbdb0abc831ef72d996a6bf8480977e7d57c2121
- Size of remote file:
- 436 MB
- SHA256:
- 8e23884aec0fbc5ab23a0ca49e8723ad60c107f0cb2746c746c3d60b59c778c2
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