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@@ -3,6 +3,8 @@ language:
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  - en
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  license: apache-2.0
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  library_name: transformers
 
 
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  ---
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  ## Model Details
@@ -16,4 +18,8 @@ All the details about the Minivoc approach and evaluation in this article:
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  - **Developed by:** [The Kaitchup](https://newsletter.kaitchup.com/)
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  - **Language(s) (NLP):** English
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- - **License:** apache-2.0
 
 
 
 
 
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  - en
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  license: apache-2.0
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  library_name: transformers
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+ datasets:
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+ - HuggingFaceFW/fineweb-edu
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  ---
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  ## Model Details
 
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  - **Developed by:** [The Kaitchup](https://newsletter.kaitchup.com/)
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  - **Language(s) (NLP):** English
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+ - **License:** apache-2.0
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+
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+ ## Training Data
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+
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+ The Minivoc approach has two training steps. For this model, I used 0.2B tokens randomly sampled from HuggingFaceFW/fineweb-edu.