Instructions to use InfometryINC/phi2-retail-sql-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use InfometryINC/phi2-retail-sql-lora-v1 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2")
model = PeftModel.from_pretrained(base_model, "InfometryINC/phi2-retail-sql-lora-v1")

Transformers

How to use InfometryINC/phi2-retail-sql-lora-v1 with Transformers:

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

pipe = pipeline("text-generation", model="InfometryINC/phi2-retail-sql-lora-v1")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("InfometryINC/phi2-retail-sql-lora-v1", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use InfometryINC/phi2-retail-sql-lora-v1 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "InfometryINC/phi2-retail-sql-lora-v1"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "InfometryINC/phi2-retail-sql-lora-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/InfometryINC/phi2-retail-sql-lora-v1

SGLang

How to use InfometryINC/phi2-retail-sql-lora-v1 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 "InfometryINC/phi2-retail-sql-lora-v1" \
    --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": "InfometryINC/phi2-retail-sql-lora-v1",
		"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 "InfometryINC/phi2-retail-sql-lora-v1" \
        --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": "InfometryINC/phi2-retail-sql-lora-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use InfometryINC/phi2-retail-sql-lora-v1 with Docker Model Runner:
```
docker model run hf.co/InfometryINC/phi2-retail-sql-lora-v1
```

Admin commited on 24 days ago

Commit

8b2d912

verified ·

1 Parent(s): 7d811ee

Update README.md

Browse files

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -37,7 +37,7 @@ license: apache-2.0
 <!-- Provide the basic links for the model. -->
-- **Repository:** [[More Information Needed](https://huggingface.co/YOUR_USERNAME/YOUR_MODEL_NAME)]
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]

 <!-- Provide the basic links for the model. -->
+- **Repository:** [https://huggingface.co/YOUR_USERNAME/YOUR_MODEL_NAME]
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]