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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Now100/kmhas_electra_binary") model = AutoModelForSequenceClassification.from_pretrained("Now100/kmhas_electra_binary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Now100/kmhas_electra_binary: direct link, hf CLI and curl.
- Browser
- Download file 1.31 MB
-
https://huggingface.co/Now100/kmhas_electra_binary/resolve/d4755f8fd0c3ea9aa090738bf6a98177ca3e9649/tokenizer.json
- Command line
-
hf download hf://Now100/kmhas_electra_binary@d4755f8fd0c3ea9aa090738bf6a98177ca3e9649/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Now100/kmhas_electra_binary/resolve/d4755f8fd0c3ea9aa090738bf6a98177ca3e9649/tokenizer.json
1.31 MB
File too large to display, you can check the raw version instead.