Text Classification
Transformers
PyTorch
Safetensors
Korean
English
xlm-roberta
text-embeddings-inference
Instructions to use Dongjin-kr/ko-reranker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dongjin-kr/ko-reranker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dongjin-kr/ko-reranker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Dongjin-kr/ko-reranker") model = AutoModelForSequenceClassification.from_pretrained("Dongjin-kr/ko-reranker", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
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