Instructions to use cssupport/t5-small-awesome-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cssupport/t5-small-awesome-text-to-sql with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="cssupport/t5-small-awesome-text-to-sql")

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("cssupport/t5-small-awesome-text-to-sql")
model = AutoModelForSeq2SeqLM.from_pretrained("cssupport/t5-small-awesome-text-to-sql")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use cssupport/t5-small-awesome-text-to-sql with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cssupport/t5-small-awesome-text-to-sql"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cssupport/t5-small-awesome-text-to-sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/cssupport/t5-small-awesome-text-to-sql

SGLang

How to use cssupport/t5-small-awesome-text-to-sql with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "cssupport/t5-small-awesome-text-to-sql" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cssupport/t5-small-awesome-text-to-sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "cssupport/t5-small-awesome-text-to-sql" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cssupport/t5-small-awesome-text-to-sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use cssupport/t5-small-awesome-text-to-sql with Docker Model Runner:
```
docker model run hf.co/cssupport/t5-small-awesome-text-to-sql
```

Support for PostgreSQL?

by zurielbf - opened Dec 19, 2024

Discussion

zurielbf

Dec 19, 2024

I'm working on a Postgresql project and it seems that is missing some language key syntax, for example

SELECT customer_name, COUNT(*) FROM rdf.snapshot_ocupation WHERE branch_name = 'RAYON' was the output for a request and when is evaluated in the engine i got this error

Column "customer_name" must appear in the GROUP BY clause or be used in an aggregate function

cssupport

Owner Jan 21, 2025

Hey, Do you have the data set which mimics Postgresql syntax? If yes , take that and fine tune this model.

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