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funnel-kor-base
kykim/funnel-kor-base
funnel-kor-base is a feature extraction model from kykim. Use it when you need embeddings to search or compare text. It is set up for transformers.
70GB Korean text dataset and 42000 lower-cased subwords are used Check the model performance and other language models for Korean in github
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- funnel
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 22, 2021
- SHA
- 6bc460ff
Model card
From the Hugging Face model README
Funnel-transformer base model for Korean
- 70GB Korean text dataset and 42000 lower-cased subwords are used
- Check the model performance and other language models for Korean in github
from transformers import FunnelTokenizer, FunnelModel
tokenizer = FunnelTokenizer.from_pretrained("kykim/funnel-kor-base")
model = FunnelModel.from_pretrained("kykim/funnel-kor-base")
- Task
- Feature Extraction
- Library
- transformers
- Type
- funnel
- Languages
- ko
- Created
- Mar 2, 2022
- Updated
- Jan 22, 2021