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@@ -26,10 +26,12 @@ Training is performed via **distillation from human rewrites**, allowing the mod
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  ## Usage
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- The input format is a flattened version of the conversational history.
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- q_n [SEP] a_{n-1} [SEP] q_{n-1} [SEP] ... [SEP] a_0 [SEP] q_0
 
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- Below is an example script for encoding a conversation:
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForMaskedLM
 
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  ## Usage
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+ Please refer to the DiSCo github for complete usage [[github]](https://github.com/SimonLupart/disco-conv-splade).
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+
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+ Below is also an example script for encoding a conversation:
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+ > The input format is a flattened version of the conversational history.
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+ q_n [SEP] a_{n-1} [SEP] q_{n-1} [SEP] ... [SEP] a_0 [SEP] q_0
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  ```python
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  from transformers import AutoTokenizer, AutoModelForMaskedLM