Instructions to use PrimeQA/t5-base-table-question-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimeQA/t5-base-table-question-generator with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PrimeQA/t5-base-table-question-generator") model = AutoModelForSeq2SeqLM.from_pretrained("PrimeQA/t5-base-table-question-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e724fdc5eef0d9c388dd96a2ad5820d87acf0f00643da9f62f830e95a7b2302f
- Size of remote file:
- 892 MB
- SHA256:
- aab689f74615cec21824a35378a982a8a8e4c8adcf0d3f68abaa605b45857d0f
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