Instructions to use ahmedrizwan239/NativeSQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahmedrizwan239/NativeSQL with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ahmedrizwan239/NativeSQL")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ahmedrizwan239/NativeSQL") model = AutoModelForSeq2SeqLM.from_pretrained("ahmedrizwan239/NativeSQL") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ahmedrizwan239/NativeSQL with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ahmedrizwan239/NativeSQL" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ahmedrizwan239/NativeSQL", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ahmedrizwan239/NativeSQL
- SGLang
How to use ahmedrizwan239/NativeSQL 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 "ahmedrizwan239/NativeSQL" \ --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": "ahmedrizwan239/NativeSQL", "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 "ahmedrizwan239/NativeSQL" \ --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": "ahmedrizwan239/NativeSQL", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ahmedrizwan239/NativeSQL with Docker Model Runner:
docker model run hf.co/ahmedrizwan239/NativeSQL
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,14 +2,12 @@
|
|
| 2 |
language: en
|
| 3 |
widget:
|
| 4 |
- text: >-
|
| 5 |
-
|
| 6 |
license: cc-by-sa-4.0
|
| 7 |
pipeline_tag: text2text-generation
|
| 8 |
inference:
|
| 9 |
parameters:
|
| 10 |
max_length: 512
|
| 11 |
-
num_beams: 10
|
| 12 |
-
top_k: 10
|
| 13 |
---
|
| 14 |
|
| 15 |
# Model Card for Model ID
|
|
|
|
| 2 |
language: en
|
| 3 |
widget:
|
| 4 |
- text: >-
|
| 5 |
+
translate to SQL: Show teachers with more than 10 years of experience
|
| 6 |
license: cc-by-sa-4.0
|
| 7 |
pipeline_tag: text2text-generation
|
| 8 |
inference:
|
| 9 |
parameters:
|
| 10 |
max_length: 512
|
|
|
|
|
|
|
| 11 |
---
|
| 12 |
|
| 13 |
# Model Card for Model ID
|