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README.md
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This is the same model as are provided on CLARIN: https://repository.clarin.is/repository/xmlui/handle/20.500.12537/278
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You can use the following example to get started
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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import torch
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tokenizer = AutoTokenizer.from_pretrained("mideind/nmt-doc-en-is-2022-10",src_lang="en_XX",tgt_lang="is_IS")
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model = AutoModelForSeq2SeqLM.from_pretrained("mideind/nmt-doc-en-is-2022-10")
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model.config.decoder_start_token_id = 2
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translate = pipeline("translation_XX_to_YY",model=model,tokenizer=tokenizer,device=device,src_lang="en_XX",tgt_lang="is_IS")
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This is the same model as are provided on CLARIN: https://repository.clarin.is/repository/xmlui/handle/20.500.12537/278
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You can use the following example to get started:
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
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import torch
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tokenizer = AutoTokenizer.from_pretrained("mideind/nmt-doc-en-is-2022-10",src_lang="en_XX",tgt_lang="is_IS")
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model = AutoModelForSeq2SeqLM.from_pretrained("mideind/nmt-doc-en-is-2022-10")
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translate = pipeline("translation_XX_to_YY",model=model,tokenizer=tokenizer,device=device,src_lang="en_XX",tgt_lang="is_IS")
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