Instructions to use samadpls/querypls-prompt2sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use samadpls/querypls-prompt2sql with Transformers:

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

pipe = pipeline("text-generation", model="samadpls/querypls-prompt2sql")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("samadpls/querypls-prompt2sql")
model = AutoModelForCausalLM.from_pretrained("samadpls/querypls-prompt2sql")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use samadpls/querypls-prompt2sql with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "samadpls/querypls-prompt2sql"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "samadpls/querypls-prompt2sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/samadpls/querypls-prompt2sql

SGLang

How to use samadpls/querypls-prompt2sql 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 "samadpls/querypls-prompt2sql" \
    --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": "samadpls/querypls-prompt2sql",
		"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 "samadpls/querypls-prompt2sql" \
        --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": "samadpls/querypls-prompt2sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use samadpls/querypls-prompt2sql with Docker Model Runner:
```
docker model run hf.co/samadpls/querypls-prompt2sql
```

samadpls commited on Oct 21, 2025

Commit

5247a1d

verified ·

1 Parent(s): e7de413

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -17

README.md CHANGED Viewed

@@ -1,20 +1,5 @@
 ---
-license: apache-2.0
-datasets:
-- samadpls/querypls-prompt2sql-dataset
-- b-mc2/sql-create-context
-tags:
-- stabilityai/StableBeluga-7B
-- langchain
-- opensource
-- stabilityai
-- SatbleBeluga-7B
-language:
-- en
-pipeline_tag: text2text-generation
 ---
@@ -66,4 +51,4 @@ For more information and details, please refer to the provided [documentation](h
 ## Model Card Authors
-- 🤖 [samadpls](https://github.com/samadpls)

 ---
+pipeline_tag: text-generation
 ---
 ## Model Card Authors
+- 🤖 [samadpls](https://github.com/samadpls)