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--- |
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language: |
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- ko |
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- en |
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metrics: |
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- bleu |
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pipeline_tag: translation |
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tags: |
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- science |
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- technology |
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--- |
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# Model Overview |
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This model is fine-tuned model of "Helsinki-NLP/opus-mt-ko-en" <br/> |
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The model is trained with 1,198,943 Korean-English sentence pairs which mainly contains science, technology terms. |
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# Load Model |
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```python |
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM |
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tokenizer = AutoTokenizer.from_pretrained("mjk0618/mt-ko-en-scitech") |
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model = AutoModelForSeq2SeqLM.from_pretrained("mjk0618/mt-ko-en-scitech") |
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``` |
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# How to use |
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```python |
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# After loading model |
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sentence = "์ธ๊ณต์ง๋ฅ์ ์ธ๊ฐ์ ํ์ต๋ฅ๋ ฅ, ์ถ๋ก ๋ฅ๋ ฅ, ์ง๊ฐ๋ฅ๋ ฅ์ ์ธ๊ณต์ ์ผ๋ก ๊ตฌํํ๋ ค๋ ์ปดํจํฐ ๊ณผํ์ ์ธ๋ถ๋ถ์ผ ์ค ํ๋์ด๋ค" |
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inputs = tokenizer(sentence, return_tensors="pt").input_ids |
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outputs = model.generate(inputs)[0] |
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translated_sentence = tokenizer.decode(outputs, skip_special_tokens=True) |
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print(translated_sentence) |
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# Artificial intelligence is one of the details of computer science that artifically implements human learning ability, reasoning ability, and perception ability. |
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``` |