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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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-> 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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To train the model run the following command:
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` python train.py config/train_shakespeare_char.py `
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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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