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License: Apache License 2.0
KoTAN: Korean Translation and Augmentation with fine-tuned NLLB
License: Apache License 2.0
huggingface model details에 작성된 bleu score가 어떤 test dataset을 통하여 얻은 결과인지 궁금합니다.
또한, 혹시 AI Hub에서 어떤 데이터를 활용하여 fine tuning 되었는지도 알 수 있을까요?
ImportError Traceback (most recent call last)
Cell In[5], line 1
----> 1 from kotan import KoTAN
2 KoTAN.available_tasks()
File c:\Python310\lib\site-packages\kotan_init_.py:3
1 version = "1.1.3"
----> 3 from .job import KoTAN
File c:\Python310\lib\site-packages\kotan\job.py:3
1 import torch
----> 3 from .tasks import (
4 KoTANTranslationFactory,
5 KoTANAugmentationFactory,
6 KoTANStyleConversiontFactory
7 )
9 from .const import LANG_ALIASES, LEVEL, STYLE
12 # Task list
File c:\Python310\lib\site-packages\kotan\tasks_init_.py:1
----> 1 from .machine_translation import KoTANTranslationFactory
2 from .data_augmentation import KoTANAugmentationFactory
3 from .style_convert import KoTANStyleConversiontFactory
...
45 f"{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"
46 )
ImportError: accelerate>=0.20.3 is required for a normal functioning of this module, but found accelerate==0.18.0.
Try: pip install transformers -U or pip install -e '.[dev]' if you're working with git main
I installed this with pip3 install kotan
Is it unavailable on python 3.10?
혹시 nllb fine tuning 하는 방법 질문드려도 괜찮나요?
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