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@@ -22,12 +22,12 @@ github repository : https://github.com/sunandhini96
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  github repository : https://github.com/katipallyvig8899
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- Developed the nano gpt application using gradio.
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- Some of steps followed during the training:
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- ## Data preparation:
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  -> download single (1MB) file and turn it from raw text into one large stream of integers(Tokenize the text into characters. In character-level models, each character becomes a token and data encoding )
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@@ -35,14 +35,15 @@ Some of steps followed during the training:
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  This creates a train.bin and val.bin in that data directory.
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- ## Train the model:
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  To train the model run the following command:
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  ` python train.py config/train_shakespeare_char.py `
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- ## Sample data generation:
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  To get sample data run the following command:
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  ` python sample.py --out_dir=out-shakespeare-char `
 
 
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  github repository : https://github.com/katipallyvig8899
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+ ### Developed the nano gpt application using gradio.
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+ # Some of steps followed during the training:
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+ ### Data preparation:
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  -> download single (1MB) file and turn it from raw text into one large stream of integers(Tokenize the text into characters. In character-level models, each character becomes a token and data encoding )
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  This creates a train.bin and val.bin in that data directory.
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+ ### Train the model:
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  To train the model run the following command:
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  ` python train.py config/train_shakespeare_char.py `
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+ ### Sample data generation:
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  To get sample data run the following command:
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  ` python sample.py --out_dir=out-shakespeare-char `
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+