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README.md
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LSTM trained on Andrej Karpathy's [`tiny_shakespeare`](https://huggingface.co/datasets/karpathy/tiny_shakespeare) dataset, from his blog post, [The Unreasonable Effectiveness of Recurrent Neural Networks](https://karpathy.github.io/2015/05/21/rnn-effectiveness/).
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## Intended uses & limitations
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The model predicts the next character based on a variable-length input sequence. After `18` epochs of training, the model is generating text that is somewhat coherent.
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LSTM trained on Andrej Karpathy's [`tiny_shakespeare`](https://huggingface.co/datasets/karpathy/tiny_shakespeare) dataset, from his blog post, [The Unreasonable Effectiveness of Recurrent Neural Networks](https://karpathy.github.io/2015/05/21/rnn-effectiveness/).
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Made to experiment with Hugging Face and W&B.
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## Intended uses & limitations
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The model predicts the next character based on a variable-length input sequence. After `18` epochs of training, the model is generating text that is somewhat coherent.
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