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Update README.md

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@@ -13,7 +13,7 @@ NVIDIA P100. Además, ha sido entrenado con un batch-size de 4, un learning rate
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  ## **Utilización**
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  Mediante el `pipeline` de Hugging Face:
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- ```
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  from transformers import pipeline
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  model_id = "eperezs/TriageTron-large"
@@ -26,7 +26,7 @@ print(result)
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  ```
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  Mediante `AutoModelForSequenceClassification` y `AutoTokenizer`:
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- ```
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  model_id = "eperezs/TriageTron-large"
 
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  ## **Utilización**
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  Mediante el `pipeline` de Hugging Face:
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+ ```python
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  from transformers import pipeline
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  model_id = "eperezs/TriageTron-large"
 
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  ```
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  Mediante `AutoModelForSequenceClassification` y `AutoTokenizer`:
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+ ```python
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  from transformers import AutoModelForSequenceClassification, AutoTokenizer
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  model_id = "eperezs/TriageTron-large"