Text Classification
fastText
English
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@@ -16,7 +16,7 @@ There are two objectives:
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  - 🧪fasttext vs transformer based model: How does this lightweight model with limited capacity compare to the original model [HuggingFaceFW/fineweb-edu-classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier)?
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- An alternative educational classifier based on different definition of educational value can be found at [kenhktsui/llm-data-textbook-quality-fasttext-classifier-v2](https://huggingface.co/kenhktsui/llm-data-textbook-quality-fasttext-classifier-v2).
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  ## 🛠️Usage
 
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  - 🧪fasttext vs transformer based model: How does this lightweight model with limited capacity compare to the original model [HuggingFaceFW/fineweb-edu-classifier](https://huggingface.co/HuggingFaceFW/fineweb-edu-classifier)?
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+ The FastText approach is inspired by my independent development of educational classifier based on a different definition of educational value, which can be found at [kenhktsui/llm-data-textbook-quality-fasttext-classifier-v2](https://huggingface.co/kenhktsui/llm-data-textbook-quality-fasttext-classifier-v2).
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  ## 🛠️Usage