README.md

metadata

license: apache-2.0
tags:
  - bert
  - kcbert
  - kor-hate-sentence
  - sentimental-analysis

SJ-Donald/kor-hate-sentence

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

Models

• beomi/kcbert-base

Datasets

• SJ-Donald/kor-hate-sentence

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("그렇게 게임하면 어떡하냐 방송 접어라 허접아")[0]:
    print(result)

{'label': 'hate', 'score': 0.9767946600914001}
{'label': 'clean', 'score': 0.023970650508999825}