ITG
/

DialoGPT-medium-spanish-chitchat

@@ -106,7 +106,7 @@ You can check the [original GitHub repository](https://github.com/microsoft/Dial
 - This model uses the original English-based tokenizer from [GPT-2 paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf).
   Spanish tokenization is not considered but it has similarities in grammatical structure for encoding text. This overlap may help the model transfer its knowledge from English to Spanish.
   Moreover, the BPE (Byte Pair Encoding) implementation of the GPT-2 tokenizer **can assign a representation to every Unicode string**.
-    **From the GPT-2 paper**:
     > Since our approach can assign a probability to any Unicode string, this allows us to evaluate our LMs on any dataset regardless of pre-processing, tokenization, or vocab size.
 - This model is intended to be used **just for single-turn chitchat conversations in Spanish**.
 - This model's generation capabilities are limited to the extent of the aforementioned fine-tuning dataset.

 - This model uses the original English-based tokenizer from [GPT-2 paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf).
   Spanish tokenization is not considered but it has similarities in grammatical structure for encoding text. This overlap may help the model transfer its knowledge from English to Spanish.
   Moreover, the BPE (Byte Pair Encoding) implementation of the GPT-2 tokenizer **can assign a representation to every Unicode string**.
+    **From the GPT-2 paper**:
     > Since our approach can assign a probability to any Unicode string, this allows us to evaluate our LMs on any dataset regardless of pre-processing, tokenization, or vocab size.
 - This model is intended to be used **just for single-turn chitchat conversations in Spanish**.
 - This model's generation capabilities are limited to the extent of the aforementioned fine-tuning dataset.