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kf-deberta-base-cross-nli
deliciouscat/kf-deberta-base-cross-nli
kf-deberta-base-cross-nli is a zero-shot classification model from deliciouscat. Use it when you need labels you did not train the model on. It is set up for transformers. The card lists the license as mit.
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At a glance
- Task
- Zero-Shot Classification
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Mar 5, 2024
- Updated
- Mar 25, 2024
- SHA
- a00e0933
Model card
From the Hugging Face model README
kor-nli 및 klue-nli로 학습하였습니다.
test accuracy(KLUE-NLI): 0.889667
model_name = 'deliciouscat/kf-deberta-base-cross-nli'
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=3).to(device)
def encode(examples):
return tokenizer(examples['premise'], examples['hypothesis'], truncation=True, padding='max_length', max_length=128)
- Task
- Zero-Shot Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Languages
- ko
- Created
- Mar 5, 2024
- Updated
- Mar 25, 2024