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@@ -36,7 +36,7 @@ HTML-LM representations can be reused across a **wide range of downstream applic
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  The model was trained from scratch for one pass over the training corpus using a combination of:
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  * Masked Language Modeling (MLM)
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- * Bag-of-Words prediction from `[CLS]`
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  * Contrastive distillation from [Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) and [Seznam SeLLMa 8B](https://blog.seznam.cz/2024/10/diana-hlavacova-sellma-aneb-jak-v-seznamu-krotime-drave-jazykove-modely/)
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  ## Training data
 
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  The model was trained from scratch for one pass over the training corpus using a combination of:
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  * Masked Language Modeling (MLM)
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+ * [Bag-of-Words prediction](https://arxiv.org/abs/2401.11248) from `[CLS]`
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  * Contrastive distillation from [Qwen3-Embedding-8B](https://huggingface.co/Qwen/Qwen3-Embedding-8B) and [Seznam SeLLMa 8B](https://blog.seznam.cz/2024/10/diana-hlavacova-sellma-aneb-jak-v-seznamu-krotime-drave-jazykove-modely/)
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  ## Training data