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Update README.md

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@@ -37,7 +37,7 @@ More information needed
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  ### How to use
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  Here is how to use this model:
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- ~~~ {.python}
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  from transformers import AutoTokenizer
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  from transformers import AutoModelForCausalLM
@@ -89,12 +89,12 @@ input_text = 'Los alumnos atienden a sus profesores'
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  print(translate_es_inclusivo(input_text))
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- ~~~
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  As it is a heavy model, you may want to use it in 4-bits:
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- ~~~ {.python}
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  from transformers import AutoTokenizer
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  from transformers import AutoModelForCausalLM
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  print(translate_es_inclusivo(input_text))
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- ~~~
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  ## Training and evaluation data
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  ### How to use
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  Here is how to use this model:
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+ ```python
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  from transformers import AutoTokenizer
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  from transformers import AutoModelForCausalLM
 
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  print(translate_es_inclusivo(input_text))
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+ ```
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  As it is a heavy model, you may want to use it in 4-bits:
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+ ``` python
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  from transformers import AutoTokenizer
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  from transformers import AutoModelForCausalLM
 
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  print(translate_es_inclusivo(input_text))
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+ ```
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  ## Training and evaluation data
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