tartuNLP
/

mmBERT-small-m-edu-classifier

Text Classification

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adorkin commited on Sep 15

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@@ -108,7 +108,7 @@ pipeline_tag: text-classification
 Trained on full documents of up to 8192 tokens in total. The train set of [tartuNLP/fineweb-c-combined-resample](https://huggingface.co/datasets/tartuNLP/fineweb-c-combined-resample)
 was used, which itself is a mix and a resample of [HuggingFaceFW/fineweb-edu-llama3-annotations](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu-llama3-annotations) and
-[https://huggingface.co/datasets/data-is-better-together/fineweb-c](https://huggingface.co/datasets/data-is-better-together/fineweb-c).
 ## Labels

 Trained on full documents of up to 8192 tokens in total. The train set of [tartuNLP/fineweb-c-combined-resample](https://huggingface.co/datasets/tartuNLP/fineweb-c-combined-resample)
 was used, which itself is a mix and a resample of [HuggingFaceFW/fineweb-edu-llama3-annotations](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu-llama3-annotations) and
+[data-is-better-together/fineweb-c](https://huggingface.co/datasets/data-is-better-together/fineweb-c).
 ## Labels