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@@ -54,15 +54,32 @@ It achieves the following results on the evaluation set:
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  More information needed
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- ## Intended uses & limitations
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- More information needed
 
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- ## Training and evaluation data
 
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- More information needed
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- ## Training procedure
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Training hyperparameters
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  More information needed
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+ ## How to Use
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline
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+ tokenizer = AutoTokenizer.from_pretrained("JoshuaAAX/bert-finetuned-ner")
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+ model = AutoModelForTokenClassification.from_pretrained("JoshuaAAX/bert-finetuned-ner")
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+ text = "La Federación nacional de cafeteros de Colombia es una entidad del estado. El primer presidente el Dr Augusto Guerra contó con el aval de la Asociación Colombiana de Aviación."
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+ ner_pipeline= pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="max")
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+ ner_pipeline(text)
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+ ```
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+ ## Training data
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+ | Abbreviation | Description |
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+ |:-------------:|:-------------:|
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+ | O | Outside of NE |
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+ | PER | Person’s name |
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+ | ORG | Organization |
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+ | LOC | Location |
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+ | MISC | Miscellaneous |
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+
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  ### Training hyperparameters
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