Create README.md

README.md

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+# 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_finetunning_exsd)
+
+## 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]
+```