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  - art
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- Model description
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  this model is finetuned on a corpus of Shakespeare's work to generate text in Shakespearean language.
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- Intended uses & limitations
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  This model can be used to generate text in the Shakespearean language.
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- How to use
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  This model can be downloaded from the hugging face library and can be run on Google Colab.
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- Training data
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  This model is trained on a corpus of over a million tokens of Shakespeare's work, that was collected from 15 novel of Shakespeare from Gutenberg.org.
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- Variable and metrics
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  Prompt given to the model to start a sentence was "The" and max_length was set to 300.
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- Evaluation results
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  Results of text generation of this model is satisfactory. The model was able to generate reasonable text and in Shakespearean language.
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- Files changed (1)
 
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  - art
11
  ---
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+ Model description:
14
  this model is finetuned on a corpus of Shakespeare's work to generate text in Shakespearean language.
15
 
16
+ Intended uses & limitations:
17
  This model can be used to generate text in the Shakespearean language.
18
 
19
+ How to use:
20
  This model can be downloaded from the hugging face library and can be run on Google Colab.
21
 
22
+ Training data:
23
  This model is trained on a corpus of over a million tokens of Shakespeare's work, that was collected from 15 novel of Shakespeare from Gutenberg.org.
24
 
25
+ Variable and metrics:
26
  Prompt given to the model to start a sentence was "The" and max_length was set to 300.
27
 
28
+ Evaluation results:
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  Results of text generation of this model is satisfactory. The model was able to generate reasonable text and in Shakespearean language.