| # klue-roberta-base-sae | |
| * This model trained with Korean dataset. | |
| * Input sentence what you want to grasp intent. | |
| * You can use English, but don't expect accuracy. | |
| klue-roberta-base-kornli DEMO: [Ainize DEMO](https://main-klue-roberta-base-kornli-ehdwns1516.endpoint.ainize.ai/) | |
| klue-roberta-base-kornli API: [Ainize API](https://ainize.web.app/redirect?git_repo=https://github.com/ehdwns1516/KLUE-RoBERTa-base_sae) | |
| ## Overview | |
| Language model: [klue/roberta-base](https://huggingface.co/klue/roberta-base) | |
| Language: Korean | |
| Training data: [kor_sae](https://huggingface.co/datasets/kor_sae) | |
| Eval data: [kor_sae](https://huggingface.co/datasets/kor_sae) | |
| Code: See [Ainize Workspace](https://ainize.ai/workspace/create?imageId=hnj95592adzr02xPTqss&git=https://github.com/ehdwns1516/KLUE-RoBERTa-base_sae_notebook) | |
| ## Usage | |
| ## In Transformers | |
| ``` | |
| from transformers import AutoTokenizer, pipeline | |
| tokenizer = AutoTokenizer.from_pretrained("ehdwns1516/klue-roberta-base-sae") | |
| classifier = pipeline( | |
| "text-classification", | |
| model="ehdwns1516/klue-roberta-base-kornli", | |
| return_all_scores=True, | |
| ) | |
| context = "sentence what you want to grasp intent" | |
| result = dict() | |
| result[0] = classifier(context)[0] | |
| ``` | |