Text Classification
Transformers
Safetensors
bert
kcbert
kor-hate-sentence
sentimental-analysis
text-embeddings-inference
Instructions to use SJ-Donald/kor-hate-sentence-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SJ-Donald/kor-hate-sentence-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SJ-Donald/kor-hate-sentence-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SJ-Donald/kor-hate-sentence-large") model = AutoModelForSequenceClassification.from_pretrained("SJ-Donald/kor-hate-sentence-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a32447c24e8279fa45619dbb998a0f46a213119239dad2ef671253e066359a4
- Size of remote file:
- 4.6 kB
- SHA256:
- bf886eddc1d43f2f0efdee75b2595756368c96bc5f79257d8ba9c3bc152d5577
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