Instructions to use PrimeQA/tapas-based-tableqa-wikisql-lookup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimeQA/tapas-based-tableqa-wikisql-lookup with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="PrimeQA/tapas-based-tableqa-wikisql-lookup")# Load model directly from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("PrimeQA/tapas-based-tableqa-wikisql-lookup") model = AutoModelForTableQuestionAnswering.from_pretrained("PrimeQA/tapas-based-tableqa-wikisql-lookup", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b23e2a9899f1479b2286db7e09fdae6e1ce743c91e5113d0e9a3bedfe7d09407
- Size of remote file:
- 2.99 kB
- SHA256:
- 8ad3bf504f187da6e38745e2c10f11123cc2fbb42cfa871b327ca6350c342811
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