klue-roberta-base-kornli

• This model trained with Korean dataset.
• Input premise sentence and hypothesis sentence.
• You can use English, but don't expect accuracy.
• If the context is longer than 1200 characters, the context may be cut in the middle and the result may not come out well.

klue-roberta-base-kornli DEMO: Ainize DEMO

klue-roberta-base-kornli API: Ainize API

Overview

Language model: klue/roberta-base

Language: Korean

Training data: kakaobrain KorNLI

Eval data: kakaobrain KorNLI

Code: See Ainize Workspace

Usage

In Transformers

from transformers import AutoTokenizer, pipeline

tokenizer = AutoTokenizer.from_pretrained("ehdwns1516/klue-roberta-base-kornli")

classifier = pipeline(
    "text-classification",
    model="ehdwns1516/klue-roberta-base-kornli",
    return_all_scores=True,
)

premise = "your premise"
hypothesis = "your hypothesis"

result = dict()
result[0] = classifier(premise + tokenizer.sep_token + hypothesis)[0]