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benjleite
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ptt5-ptpt-qg

Text Generation
Transformers
Safetensors
Portuguese
t5
text2text-generation
ptt5
European Portuguese
question-generation
text-generation-inference
Inference Endpoints
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@@ -38,7 +38,7 @@ The encoder concatenates the answer and text, and the decoder generates the ques
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  ```py
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  >>> from transformers import T5ForConditionalGeneration, T5Tokenizer
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- >>> model = T5ForConditionalGeneration.from_pretrained("benjleite/ppt5-ptpt-qg")
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  >>> tokenizer = T5Tokenizer.from_pretrained("unicamp-dl/ptt5-base-portuguese-vocab", model_max_length=512)
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  ```
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  **Important Note**: Special tokens need to be added and model tokens must be resized:
 
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  ```py
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  >>> from transformers import T5ForConditionalGeneration, T5Tokenizer
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+ >>> model = T5ForConditionalGeneration.from_pretrained("benjleite/ptt5-ptpt-qg")
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  >>> tokenizer = T5Tokenizer.from_pretrained("unicamp-dl/ptt5-base-portuguese-vocab", model_max_length=512)
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  ```
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  **Important Note**: Special tokens need to be added and model tokens must be resized: