Instructions to use KN123/nl2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KN123/nl2sql with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KN123/nl2sql") model = AutoModelForSeq2SeqLM.from_pretrained("KN123/nl2sql") - Notebooks
- Google Colab
- Kaggle
| license: apache-2.0 | |
| library_name: transformers | |
| # nl2sql (Natural Language to SQL) | |
| - Here lies the resources and the fine tuned-model for natural language to SQL (Structured Query Language). | |
| ## Few Hints while making use of the API or downloading the model locally. | |
| 1. For ease, while passing the query to the database, make the attributes in single quotes (write custom function). | |
| 2. Remember, SQL is case sensitive, hence in your inference prompt, mention the correct case. | |
| Credits to: @juierror/flan-t5-text-to-sql on github. | |