Instructions to use neureps/warmly-nmt-kobart-enko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neureps/warmly-nmt-kobart-enko with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="neureps/warmly-nmt-kobart-enko")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("neureps/warmly-nmt-kobart-enko") model = AutoModelForSeq2SeqLM.from_pretrained("neureps/warmly-nmt-kobart-enko", device_map="auto") - Notebooks
- Google Colab
- Kaggle
warmly-nmt-kobart-enko โ ENโKO ๋๊ธ ๋ฒ์ญ ํ์ธํ๋ (B์ ํ์ผ๋ฟ v1, ์คํจ)
โ ๏ธ ์คํจํ ํ์ผ๋ฟ ์ฐ์ถ๋ฌผ โ ์ฌ์ฉ ๋ถ๊ฐ. "์ ์ ๋๋๊ฐ"์ ์ค์ธก ๊ธฐ๋ก์ผ๋ก ๋ณด์กดํฉ๋๋ค.
KoBART-base-v2 (124M)๋ฅผ Warmly(์จ๊ธฐ)์ B์(0.8B ์์ด ๋๊ธ + ์ํ ๋ฒ์ญ๊ธฐ) ํธ๋์์ ENโKO ๋ฒ์ญ๊ธฐ๋ก ํ์ธํ๋ ์๋ํ ๋ชจ๋ธ์ ๋๋ค (2026-07-14, 883์).
์คํจ ์ง๋จ
chrF 5.67 โ ๋ด์ฉ ๋ฌด์ ์์ค. KoBART๋ ํ๊ตญ์ด ์ ์ฉ ์ฌ์ ํ์ต ๋ชจ๋ธ์ด๋ผ ์์ด ์ ๋ ฅ์ ์๋ฏธ๋ฅผ 883์ํ๋ก๋ ํ์ต ๋ถ๊ฐ. ๊ฐ์ ๋ฐ์ดํฐ๋ก ๋ค๊ตญ์ด ์ฌ์ ํ์ต SMaLL-100์ chrF 24(๋ด์ฉ ์ถฉ์ค)๋ฅผ ๋ฌ์ฑ โ enโko ๋ฒ์ญ๊ธฐ๋ ๋ค๊ตญ์ด ์ฌ์ ํ์ต์ด ์ ์ ์กฐ๊ฑด์ด๋ผ๋ ๊ฒฐ๋ก ์ ๋์กฐ๊ตฐ.
ํ์ ๊ณ๋ณด
SMaLL-100 ํ์ผ๋ฟ(warmly-nmt-small100-enko) โ NLLB-600M v2(warmly-nmt-nllb600-enko).
ํ์ผ
best/ ์ฒดํฌํฌ์ธํธ: model.safetensors (475MB) + ํ ํฌ๋์ด์ ์ผ์ฒด.
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Model tree for neureps/warmly-nmt-kobart-enko
Base model
gogamza/kobart-base-v2