Helsinki-NLP-抱脸翻译模型
# 等待下载
#--de-zh---
https://huggingface.co/Helsinki-NLP/opus-mt-de-ZH/tree/main
https://huggingface.co/Helsinki-NLP/opus-tatoeba-es-zh
https://huggingface.co/Helsinki-NLP/opus-mt-ja-en
https://huggingface.co/Helsinki-NLP/opus-mt-fr-en
https://huggingface.co/Helsinki-NLP/opus-mt-es-en
https://huggingface.co/Helsinki-NLP/opus-mt-ar-en
https://huggingface.co/Helsinki-NLP/opus-mt-th-en
https://huggingface.co/Helsinki-NLP/opus-mt-it-en
https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-it-en
1 2 3 4 5 6 7 8 9 | from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained( "Helsinki-NLP/opus-mt-ru-en" ) model = AutoModelForSeq2SeqLM.from_pretrained( "Helsinki-NLP/opus-mt-ru-en" ) # ----------------------------------------------------------from transformers import pipeline translator = pipeline( "translation" , model = "Helsinki-NLP/opus-mt-fr-en" ) # 自行下载模型 translator( "Ce cours est produit par Hugging Face." ) [{ 'translation_text' : 'This course is produced by Hugging Face.' }] |
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