KoichiYasuoka
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README.md
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@@ -10,7 +10,7 @@ tags:
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license: "apache-2.0"
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pipeline_tag: "token-classification"
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widget:
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- text: "
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---
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# roberta-classical-chinese-large-upos
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@@ -26,7 +26,7 @@ import torch
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from transformers import AutoTokenizer,AutoModelForTokenClassification
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-upos")
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model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-upos")
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s="
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p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))[0],dim=2)[0].tolist()[1:-1]]
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print(list(zip(s,p)))
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```
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license: "apache-2.0"
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pipeline_tag: "token-classification"
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widget:
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- text: "子曰學而時習之不亦説乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎"
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---
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# roberta-classical-chinese-large-upos
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from transformers import AutoTokenizer,AutoModelForTokenClassification
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tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-upos")
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model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/roberta-classical-chinese-large-upos")
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s="子曰學而時習之不亦説乎有朋自遠方來不亦樂乎人不知而不慍不亦君子乎"
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p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,return_tensors="pt"))[0],dim=2)[0].tolist()[1:-1]]
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print(list(zip(s,p)))
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```
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