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Update README.md

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@@ -88,8 +88,8 @@ from transformers import RobertaTokenizerFast, RobertaForSequenceClassification,
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  tokenizer = RobertaTokenizerFast.from_pretrained("fundacionctic/oracle-dermat")
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  model = RobertaForSequenceClassification.from_pretrained("fundacionctic/oracle-dermat")
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- ```
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- # Example usage
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  inputs = tokenizer("Ejemplo de texto dermatológico".tolist(),
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  truncation=True,
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  padding='max_length',
@@ -98,7 +98,7 @@ inputs = tokenizer("Ejemplo de texto dermatológico".tolist(),
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  return_attention_mask=True,
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  ))
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  outputs = model(input_ids, attention_mask=attention_mask)
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-
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  [More Information Needed]
 
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  tokenizer = RobertaTokenizerFast.from_pretrained("fundacionctic/oracle-dermat")
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  model = RobertaForSequenceClassification.from_pretrained("fundacionctic/oracle-dermat")
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+
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+
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  inputs = tokenizer("Ejemplo de texto dermatológico".tolist(),
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  truncation=True,
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  padding='max_length',
 
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  return_attention_mask=True,
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  ))
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  outputs = model(input_ids, attention_mask=attention_mask)
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+ ```
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  [More Information Needed]