Instructions to use JminJ/koElectra_base_Bad_Sentence_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JminJ/koElectra_base_Bad_Sentence_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JminJ/koElectra_base_Bad_Sentence_Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JminJ/koElectra_base_Bad_Sentence_Classifier") model = AutoModelForSequenceClassification.from_pretrained("JminJ/koElectra_base_Bad_Sentence_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ff4e090e0482fc8ff1b20ccc04794797029ee7c8ddb3997aa31256661561ed6
- Size of remote file:
- 452 MB
- SHA256:
- 55f7ecd50fc09b1cedf7c97cc373f43baf6555dacd91a5aa9d8e10433f7e4832
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