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Shenzy2
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NER4DesignTutor

Token Classification
Transformers
PyTorch
English
bert
Model card Files
xet
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@@ -35,9 +35,9 @@ Or Python API:
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  ```
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  from transformers import AutoModelForTokenClassification, AutoTokenizer
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- model = AutoModelForTokenClassification.from_pretrained("Shenzy2/NER4DesignTutor", use_auth_token=True)
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- tokenizer = AutoTokenizer.from_pretrained("Shenzy2/NER4DesignTutor", use_auth_token=True)
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  inputs = tokenizer("Why is the username the largest part of each card?", return_tensors="pt")
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  ```
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  from transformers import AutoModelForTokenClassification, AutoTokenizer
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+ model = AutoModelForTokenClassification.from_pretrained("Shenzy2/NER4DesignTutor")
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+ tokenizer = AutoTokenizer.from_pretrained("Shenzy2/NER4DesignTutor")
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  inputs = tokenizer("Why is the username the largest part of each card?", return_tensors="pt")
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