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:
- 852129454c31f3e574236069a2e37abf3c90d3bd0636308500825314b332322d
- Size of remote file:
- 443 MB
- SHA256:
- 24e013b4d47fe9d34ca0a39149db9e3c3fdfb2c4c3d8ca57def031197541a631
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