Comments (3)
ramsrigouthamg
commented on May 26, 2024
@aravind-812 The max questions limited by I guess 4.
The reason is that for T5 to generate more in parallel the inference time is longer. Hence I guess it is limited.
The recommended word length can be anywhere between 100 - 1000 words etc. Although there is no physical limit keyword algorithm emphasizes inital words.
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aravind-812
commented on May 26, 2024
Gotcha @ramsrigouthamg
Thanks.
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Yawan-1
commented on May 26, 2024
so, How exactly I can increase the number of questions (MCQ) to generate?
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Related Issues (20)
- Explainability / Model Interrogation?
- No matching distribution for Spacy==2.2.4 HOT 1
- Library is giving error for thinc...and eventually not getting loaded HOT 1
- Deployment code
- Can't install on python 3.10 HOT 1
- May function MCQs_available is not necessary while the get_keywords being called by predict_shortq?
- API
- FAQ question answers
- Support for Python 3.10.5
- How can we create an evaluation metrics for this model? Up to now, How accurate is the model?
- ModuleNotFoundError: No module named 'Questgen'` HOT 7
- Having Error in Colab HOT 1
- Value error HOT 3
- while executing this line - !pip install --upgrade git+https://github.com/ramsrigouthamg/Questgen.ai HOT 10
- Always generating same questions HOT 1
- tokenizer with `model_max_length` HOT 2
- How can I increase the number of questions to generate (MCQ) ?
- NLTK import
- TypeError: load() got an unexpected keyword argument 'quiet' HOT 2
- about multi-language support
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