Table Question Answering
Transformers
Safetensors
PyTorch
natural-language-processing
text-to-sql
sql
spider-dataset
t5
lstm
random-forest
tensorflow
scikit-learn
Instructions to use Ganesh-Nadkarni/nl2sql-comparative-study-conit2026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ganesh-Nadkarni/nl2sql-comparative-study-conit2026 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="Ganesh-Nadkarni/nl2sql-comparative-study-conit2026")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ganesh-Nadkarni/nl2sql-comparative-study-conit2026", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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