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license: mit |
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## Dataset - tiny shakespeare, character-level |
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Tiny shakespeare, of the good old char-rnn fame :) Treated on character-level. |
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- Tokenization performed on Character level |
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- Vocab size 65. Following are the unique tokens |
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- `!$&',-.3:;?ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz` |
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- Number of total tokens - 1115394 |
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- trained on 1,003,854 tokens (90%) |
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- validation is performed on 111,540 tokens (10%) |
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## The Huggingface Spaces Gradio App |
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This model is used for the following Huggingface Spaces Gradio App. |
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The app is available [here](https://huggingface.co/spaces/sayanbanerjee32/nano_text_generator) |
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The takes following as input |
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1. Seed Text (Prompt) - This provided as input text to the GPT model, based on which it generates further contents. If no data is provided, the only a space (" ") is provided as input |
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2. Max tokens to generate - This controls the numbers of character tokens it will generate. The default value is 100. |
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3. Temperature - This accepts value between 0 to 1. Higher value introduces more randomness in the next token generation. Default value is set to 0.7. |
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4. Select Top N in each step - This is optional field. If no value is provided (or <= 0), all available tokens are considered for next token prediction based on SoftMax probability. However, if a number is set then only that many top characters will be considered for next token prediction. |
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