Instructions to use microsoft/tapex-large-sql-execution with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/tapex-large-sql-execution with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="microsoft/tapex-large-sql-execution")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("microsoft/tapex-large-sql-execution") model = AutoModelForSeq2SeqLM.from_pretrained("microsoft/tapex-large-sql-execution") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a2bb2236aa90d7f6d1b6dab495d7a15767c08c66b62bee3423477e260b50583b
- Size of remote file:
- 1.63 GB
- SHA256:
- d3c5cd306397fe6364e2b37e13fd5145030f1d0277b5aba84db051c652453077
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