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@@ -65,7 +65,7 @@ You can use this model for Named Entity Recognition tasks as follows:
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
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- model_name = "disham993/electrical-ner-modernbert-large"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForTokenClassification.from_pretrained(model_name)
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@@ -160,4 +160,4 @@ For a complete guide covering the entire process - from data tokenization to pus
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  ## Last Update
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- 2024-12-30
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
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+ model_name = "disham993/electrical-ner-ModernBERT-base"
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  model = AutoModelForTokenClassification.from_pretrained(model_name)
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  ## Last Update
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+ 2024-12-31