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question-generation-auto-t5-v1-base-s-q-c

Text2Text Generation
Transformers
PyTorch
TensorBoard
Safetensors
t5
Question(s) Generation
text-generation-inference
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@@ -4,24 +4,24 @@ tags:
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  metrics:
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  - rouge
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  model-index:
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- - name: anshoomehra/question-generation-auto-t5-v1-base-s-q-c
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  results: []
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  ---
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  # Auto Question Generation
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  The model is intended to be used for Auto Question Generation task i.e. no hint are required as input. The model is expected to produce one or possibly more than one question from the provided context.
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- [Live Demo: Question Generation](https://huggingface.co/spaces/anshoomehra/question_generation)
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  Including this there are four models trained with different training sets, demo provide comparison to all in one go. However, you can reach individual projects at below links:
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- [Auto Question Generation v1](https://huggingface.co/anshoomehra/question-generation-auto-t5-v1-base-s)
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- [Auto Question Generation v2](https://huggingface.co/anshoomehra/question-generation-auto-t5-v1-base-s-q)
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- [Auto/Hints based Question Generation v1](https://huggingface.co/anshoomehra/question-generation-auto-hints-t5-v1-base-s-q)
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- [Auto/Hints based Question Generation v2](https://huggingface.co/anshoomehra/question-generation-auto-hints-t5-v1-base-s-q-c)
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  This model can be used as below:
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@@ -31,7 +31,7 @@ from transformers import (
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  AutoTokenizer
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  )
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- model_checkpoint = "anshoomehra/question-generation-auto-t5-v1-base-s-q-c"
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  model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
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  tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
 
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  metrics:
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  - rouge
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  model-index:
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+ - name: consciousAI/question-generation-auto-t5-v1-base-s-q-c
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  results: []
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  ---
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  # Auto Question Generation
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  The model is intended to be used for Auto Question Generation task i.e. no hint are required as input. The model is expected to produce one or possibly more than one question from the provided context.
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+ [Live Demo: Question Generation](https://huggingface.co/spaces/consciousAI/question_generation)
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  Including this there are four models trained with different training sets, demo provide comparison to all in one go. However, you can reach individual projects at below links:
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+ [Auto Question Generation v1](https://huggingface.co/consciousAI/question-generation-auto-t5-v1-base-s)
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+ [Auto Question Generation v2](https://huggingface.co/consciousAI/question-generation-auto-t5-v1-base-s-q)
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+ [Auto/Hints based Question Generation v1](https://huggingface.co/consciousAI/question-generation-auto-hints-t5-v1-base-s-q)
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+ [Auto/Hints based Question Generation v2](https://huggingface.co/consciousAI/question-generation-auto-hints-t5-v1-base-s-q-c)
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  This model can be used as below:
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  AutoTokenizer
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  )
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+ model_checkpoint = "consciousAI/question-generation-auto-t5-v1-base-s-q-c"
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  model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
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  tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)