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
File size: 135 Bytes
3ff1280 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b4d05a0c93519901c2708c464c2ddab0dd2cd106ed59294741832e130d8aac37
size 1625550145
|