Instructions to use PipableAI/pip-sql-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use PipableAI/pip-sql-1.3b with Transformers:

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

pipe = pipeline("text-generation", model="PipableAI/pip-sql-1.3b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("PipableAI/pip-sql-1.3b")
model = AutoModelForCausalLM.from_pretrained("PipableAI/pip-sql-1.3b")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use PipableAI/pip-sql-1.3b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "PipableAI/pip-sql-1.3b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PipableAI/pip-sql-1.3b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/PipableAI/pip-sql-1.3b

SGLang

How to use PipableAI/pip-sql-1.3b 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 "PipableAI/pip-sql-1.3b" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PipableAI/pip-sql-1.3b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "PipableAI/pip-sql-1.3b" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "PipableAI/pip-sql-1.3b",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use PipableAI/pip-sql-1.3b with Docker Model Runner:
```
docker model run hf.co/PipableAI/pip-sql-1.3b
```

rvk7895 commited on Feb 25, 2024

Commit

887fb43

verified ·

1 Parent(s): 205f843

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -54,7 +54,7 @@ Here is the link to run the evaluation:
 |model|easy|medium|hard|extra|
 |-----|----|------|----|-----|
 |sqlcoder-7b-2|72.0|58.0|40.6|37.3|
-|pipSQL-1.3b|71.1|49.9|31.5|24.1|
 |pipSQL-7b|63.0|40.0|30.2|25.0|
 |sqlcoder-7b|60.6|48.2|28.3|20.4|
 |gpt-3.5|58.8|44.7|31.0|28.4|
@@ -67,7 +67,7 @@ Here is the link to it:
 [Defog SQL-Eval](https://github.com/defog-ai/sql-eval)
 These are the results -
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d32c6b921678fdc9de3302/a7Hd1AiwV2NIKmeABdLJm.png)
 ## License
 The model is open source under apache 2.0. License

 |model|easy|medium|hard|extra|
 |-----|----|------|----|-----|
 |sqlcoder-7b-2|72.0|58.0|40.6|37.3|
+|pipSQL-1.3b|78.5|57.5|42.1|28.3|
 |pipSQL-7b|63.0|40.0|30.2|25.0|
 |sqlcoder-7b|60.6|48.2|28.3|20.4|
 |gpt-3.5|58.8|44.7|31.0|28.4|
 [Defog SQL-Eval](https://github.com/defog-ai/sql-eval)
 These are the results -
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64d32c6b921678fdc9de3302/fFeLSEYBNpQk_JWjFsF5M.png)
 ## License
 The model is open source under apache 2.0. License