Instructions to use PrimeQA/t5-base-hybrid-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimeQA/t5-base-hybrid-question-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PrimeQA/t5-base-hybrid-question-generator") model = AutoModelForSeq2SeqLM.from_pretrained("PrimeQA/t5-base-hybrid-question-generator") - Notebooks
- Google Colab
- Kaggle
Model description
This is a t5-base model, finetuned to generate questions given a table and linked passages using HybridQA dataset. It was trained to generate questions from reasoning paths extracted from hybrid input, i.e., a table and the passages linked to the table cells.
Overview
Language model: t5-base
Language: English
Task: Hybrid Question Generation
Data: HybridQA
Intented use and limitations
One can use this model to generate questions given a table and linked passages. Biases associated with pre-training of T5 and HybridQA dataset may be present.
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