Text Classification
Transformers
Safetensors
Korean
electra
hate-speech
binary-classification
korean
Eval Results (legacy)
Instructions to use Now100/kmhas_electra_binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Now100/kmhas_electra_binary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Now100/kmhas_electra_binary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Now100/kmhas_electra_binary") model = AutoModelForSequenceClassification.from_pretrained("Now100/kmhas_electra_binary") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b4f95d7dbf16c7473748ca8516754e7aa1a2f92edfbb62f0209e0a5fe374687
- Size of remote file:
- 511 MB
- SHA256:
- d80a5ca289e1faebbd87dfc661d83f4acaedba2b55009689a6b01fd0c7915471
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