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NHNDQ
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SelectionModel

Text Classification
Transformers
Safetensors
Korean
roberta
DPR
Classification
RAG
text-embeddings-inference
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xet
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="NHNDQ/SelectionModel")
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("NHNDQ/SelectionModel")
model = AutoModelForSequenceClassification.from_pretrained("NHNDQ/SelectionModel")
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Model Details

  • Model Description: Selection Model
  • Developed by: Jisu Kim, TakSung Heo, Minsu Jeong, and Juhwan Lee
  • Model Type: Classification
  • License: CC-BY-4.0

Dataset

Uses

This model can be used for context extraction.

Source Code

SelectionModel

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