
# SJ-Donald/kor-hate-sentence

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

## Models

* [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base)

## Datasets

* [SJ-Donald/kor-hate-sentence](https://huggingface.co/datasets/SJ-Donald/kor-hate-sentence)

## How to use

```Python
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}
```
{"license": "apache-2.0", "tags": ["bert", "kcbert", "kor-hate-sentence", "sentimental-analysis"]}
transformers safetensors bert text-classification kcbert kor-hate-sentence sentimental-analysis license:apache-2.0 autotrain_compatible endpoints_compatible region:us