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Update app.py
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app.py
CHANGED
@@ -22,12 +22,12 @@ kosum = 'alphahg/pko-t5-small-finetuned-paper-4564652' #'lcw99/t5-base-korean-te
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#en_pipe = pipeline('translation', model=en2ko, tokenizer=en2ko, src_lang = "en", tgt_lang = "ko", device_map="auto")
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en2ko_model = AutoModelForSeq2SeqLM.from_pretrained(en2ko)
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en_pipe = pipeline('translation', model=en2ko_model, tokenizer=en2ko, src_lang = "en_XX", tgt_lang = "ko_KR"
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ko_pipe = pipeline('translation', model=ko2en, tokenizer=ko2en, device="cuda:0")
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style_pipe = pipeline('translation', model=en2ko_model, tokenizer=en2ko, src_lang = "ko_KR", tgt_lang = "ko_KR"
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en_sum = pipeline('summarization', model=ensum, tokenizer=ensum
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ko_sum = pipeline('summarization', model=kosum, tokenizer=kosum
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def len_tokens(text, pipe):
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return len(pipe.tokenizer(text)['input_ids'])
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#en_pipe = pipeline('translation', model=en2ko, tokenizer=en2ko, src_lang = "en", tgt_lang = "ko", device_map="auto")
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en2ko_model = AutoModelForSeq2SeqLM.from_pretrained(en2ko)
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en_pipe = pipeline('translation', model=en2ko_model, tokenizer=en2ko, src_lang = "en_XX", tgt_lang = "ko_KR")
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ko_pipe = pipeline('translation', model=ko2en, tokenizer=ko2en, device="cuda:0")
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style_pipe = pipeline('translation', model=en2ko_model, tokenizer=en2ko, src_lang = "ko_KR", tgt_lang = "ko_KR")
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en_sum = pipeline('summarization', model=ensum, tokenizer=ensum)
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ko_sum = pipeline('summarization', model=kosum, tokenizer=kosum)
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def len_tokens(text, pipe):
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return len(pipe.tokenizer(text)['input_ids'])
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