Instructions to use jtatman/question_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jtatman/question_generation with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jtatman/question_generation") model = AutoModelForSeq2SeqLM.from_pretrained("jtatman/question_generation") - Notebooks
- Google Colab
- Kaggle
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This is a merge of a lora adapter mou3az/Question-Generation with the base model facebook/bart-base.
There have been recent updates to the lora model - I strongly encourage you to look there for an improved version.
All credits go to mou3az. I just needed a merged model for my own purposes.
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# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jtatman/question_generation") model = AutoModelForSeq2SeqLM.from_pretrained("jtatman/question_generation")