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Update README.md

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@@ -7,14 +7,17 @@ Basically it trains for 2 tasks using the same dataset. In Yoda-ish to English,
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  For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training.
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  # Usage
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- *Input*
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- For Yoda-ish to English, you can use the prefix "y_to_e: <text>" to pass in as the input
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- For English to Yodaish you can use the prefix "e_to_y: <text:"
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- *Output*
 
 
 
 
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  The translated sentence.
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- E,g
 
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  e_to_y: I am sick of you => Sick of you, I am
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  # Spaces
 
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  For this first version of the model I used a small sample of 20 Yoda quotes for training. I am in the midst of collecting more samples for training.
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  # Usage
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+ **Input**
 
 
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+ For Yoda-ish to English, you can use the prefix "y_to_e: text" to pass in as the input.
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+
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+ For English to Yodaish you can use the prefix "e_to_y: text"
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+
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+ **Output**
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  The translated sentence.
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+ E.g
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+
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  e_to_y: I am sick of you => Sick of you, I am
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  # Spaces