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Korea-MES/Length-distilbert-v2
Length-distilbert-v2 is a text classification model from Korea-MES. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
Fine-tuned DistilBERT (distilbert/distilbert-base-uncased) for multi-class open question / resolve type classification.
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From the Hugging Face model README
Fine-tuned DistilBERT (distilbert/distilbert-base-uncased) for multi-class open question / resolve type classification.
example, judgmental, cause, procedural, verification, concept, extent, comparison, disjunction, consequence
See train_modern_bert/infer_open_question_type.py in the source repo, or use transformers AutoModelForSequenceClassification with max_length=512 and softmax over logits.