Text Classification
Transformers
Safetensors
Korean
electra
KoELECTRA
Korean-NLP
topic-classification
news-classification
Generated from Trainer
Instructions to use howon20/data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howon20/data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="howon20/data")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("howon20/data") model = AutoModelForSequenceClassification.from_pretrained("howon20/data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from howon20/data: direct link, hf CLI and curl.
- Browser
- Download file 815 kB
-
https://huggingface.co/howon20/data/resolve/main/tokenizer.json
- Command line
-
hf download hf://howon20/data/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/howon20/data/resolve/main/tokenizer.json
815 kB
File too large to display, you can check the raw version instead.