Instructions to use Semojak/GK_KoELECTRABase_ver1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Semojak/GK_KoELECTRABase_ver1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Semojak/GK_KoELECTRABase_ver1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Semojak/GK_KoELECTRABase_ver1") model = AutoModelForSequenceClassification.from_pretrained("Semojak/GK_KoELECTRABase_ver1") - Notebooks
- Google Colab
- Kaggle
File too large to display, you can check the raw version instead.