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cbdb
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PersonAndBookTitleSplitter

Token Classification
Transformers
Safetensors
Chinese
bert
Seq2SeqLM
古文
文言文
ancient
classical
作者书名拆分
Model card Files
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@@ -28,7 +28,7 @@ Here is how to use this model to get the features of a given text in PyTorch:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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- PRETRAINED = "cbdb/NameSplitter"
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  tokenizer = AutoTokenizer.from_pretrained(PRETRAINED)
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  model = AutoModelForTokenClassification.from_pretrained(PRETRAINED)
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  ```
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification
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+ PRETRAINED = "cbdb/PersonAndBookTitleSplitter"
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  tokenizer = AutoTokenizer.from_pretrained(PRETRAINED)
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  model = AutoModelForTokenClassification.from_pretrained(PRETRAINED)
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  ```