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SJ-Donald/kor-hate-sentence

SJ-Donald/kor-hate-sentence is pretrained model using follow:

Models

Datasets

How to use

from transformers import TextClassificationPipeline, BertForSequenceClassification, AutoTokenizer+

model_name = 'SJ-Donald/kor-hate-sentence'
model = BertForSequenceClassification.from_pretrained(model_name)

tokenizer = AutoTokenizer.from_pretrained(model_name)

pipe = TextClassificationPipeline(
    model = model,
    tokenizer = tokenizer,
    device = 0,   # cpu: -1, gpu: gpu number
    return_all_scores = True,
    function_to_apply = 'sigmoid'
)

for result in pipe("๊ทธ๋ ‡๊ฒŒ ๊ฒŒ์ž„ํ•˜๋ฉด ์–ด๋–กํ•˜๋ƒ ๋ฐฉ์†ก ์ ‘์–ด๋ผ ํ—ˆ์ ‘์•„")[0]:
    print(result)

{'label': 'hate', 'score': 0.9767946600914001}
{'label': 'clean', 'score': 0.023970650508999825}
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Safetensors
Model size
109M params
Tensor type
F32
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