| language: ko | |
| library_name: transformers | |
| pipeline_tag: text-classification | |
| tags: | |
| - text-classification | |
| - korean | |
| - transformers | |
| - pytorch | |
| base_model: beomi/KcELECTRA-base | |
| # Korean Text Classification Model | |
| Base model: `beomi/KcELECTRA-base` | |
| This model was fine-tuned with Hugging Face Transformers `Trainer`. | |
| ## Labels | |
| ?? | |
| ## Inference Example | |
| from transformers import pipeline | |
| repo_id = "YOUR_USERNAME/YOUR_REPO_NAME" | |
| classifier = pipeline( | |
| "text-classification", | |
| model=repo_id, | |
| tokenizer=repo_id | |
| ) | |
| classifier("여기에 분류할 문장을 입력하세요.") | |