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--- |
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license: cc-by-sa-4.0 |
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language: |
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- ko |
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tags: |
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- korean |
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--- |
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# **KoBigBird-RoBERTa-large** |
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This is a large-sized Korean BigBird model introduced in our [paper]() (IJCNLP-AACL 2023). |
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The model draws heavily from the parameters of [klue/roberta-large](https://huggingface.co./klue/roberta-large) to ensure high performance. |
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By employing the BigBird architecture and incorporating the newly proposed TAPER, the language model accommodates even longer input lengths. |
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### How to Use |
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```python |
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from transformers import AutoTokenizer, AutoModelForMaskedLM |
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tokenizer = AutoTokenizer.from_pretrained("vaiv/kobigbird-roberta-large") |
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model = AutoModelForMaskedLM.from_pretrained("vaiv/kobigbird-roberta-large") |
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``` |
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### Hyperparameters |
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### Results |
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Measurement on validation sets of the KLUE benchmark datasets |
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### Limitations |
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While our model achieves great results even without additional pretraining, direct pretraining can further refine positional representations. |
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## Citation Information |
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To Be Announced |
