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ckiplab
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albert-base-chinese-ner

Token Classification
Transformers
PyTorch
Chinese
albert
Inference Endpoints
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Update usage.

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  1. README.md +2 -2
README.md CHANGED
@@ -35,11 +35,11 @@ Please use BertTokenizerFast as tokenizer instead of AutoTokenizer.
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  ```
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  from transformers import (
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  BertTokenizerFast,
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- AutoModelForTokenClassification,
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  )
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  tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese')
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- model = AutoModelForTokenClassification.from_pretrained('ckiplab/albert-base-chinese-ner')
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  ```
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  For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers.
 
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  ```
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  from transformers import (
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  BertTokenizerFast,
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+ AutoModel,
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  )
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  tokenizer = BertTokenizerFast.from_pretrained('bert-base-chinese')
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+ model = AutoModel.from_pretrained('ckiplab/albert-base-chinese-ner')
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  ```
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  For full usage and more information, please refer to https://github.com/ckiplab/ckip-transformers.