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
Saneem Ahmed Chemmengath commited on
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README.md
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@@ -9,7 +9,7 @@ This is an [t5-base](https://huggingface.co/t5-base) model, finetuned to generat
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# Overview
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*Language model*: t5-base \
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*Language*: English
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*Task*: Table Question Generation \
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*Data*: WikiSQL
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# Overview
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*Language model*: t5-base \
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*Language*: English \
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*Task*: Table Question Generation \
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*Data*: WikiSQL
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