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the following is my code:
model_name = "facebook/nllb-200-3.3B"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name, trust_remote_code=True).cuda()
micronetboy
changed the title
nllb 3.3B translate from Korean to Korean got: , , , , , , , , , , , , , , ,
nllb 3.3B translate from Chinese to Korean got: , , , , , , , , , , , , , , ,
Feb 7, 2024
nllb 3.3B translate from Chinese to Korean got: , , , , , , , , , , , , , , ,
source_text: 哈哈哈哈哈 说的什么玩意儿呀 这个声音太尖了 耳朵有点受不了哎
translated_text: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
the following is my code:
model_name = "facebook/nllb-200-3.3B"
tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name, trust_remote_code=True).cuda()
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