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t5-base-question-generator

Text2Text Generation Transformers PyTorch TensorFlow JAX t5 Inference Endpoints text-generation-inference

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iarfmoose commited on Feb 24, 2022

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@@ -12,7 +12,7 @@ The model is trained to generate reading comprehension-style questions with answ
 The model takes concatenated answers and context as an input sequence, and will generate a full question sentence as an output sequence. The max sequence length is 512 tokens. Inputs should be organised into the following format:
 ```
-answer_token <answer-phrase> context_token <context-from-text>
 ```
 The input sequence can then be encoded and passed as the `input_ids` argument in the model's `generate()` method.

 The model takes concatenated answers and context as an input sequence, and will generate a full question sentence as an output sequence. The max sequence length is 512 tokens. Inputs should be organised into the following format:
 ```
+<answer> answer text here <context> context text here
 ```
 The input sequence can then be encoded and passed as the `input_ids` argument in the model's `generate()` method.