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

klue-roberta-base-kornli API: Ainize API

Overview

Language model: klue/roberta-base

Language: Korean

Training data: kor_sae

Eval data: kor_sae

Code: See Ainize Workspace

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]