Instructions to use defog/sqlcoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use defog/sqlcoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="defog/sqlcoder")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("defog/sqlcoder") model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use defog/sqlcoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "defog/sqlcoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "defog/sqlcoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/defog/sqlcoder
- SGLang
How to use defog/sqlcoder 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 "defog/sqlcoder" \ --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": "defog/sqlcoder", "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 "defog/sqlcoder" \ --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": "defog/sqlcoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use defog/sqlcoder with Docker Model Runner:
docker model run hf.co/defog/sqlcoder
mysql support
1
#19 opened about 2 years ago
by
faizelk
Adding `safetensors` variant of this model
#18 opened about 2 years ago
by
SFconvertbot
Add more precise license metadata (UI will be cleaner!)
1
#16 opened over 2 years ago
by
ashish-soni08
It is possible to run this model on windows with load_in_4bit=True
4
#15 opened over 2 years ago
by
JeisonJimenez
Adding `safetensors` variant of this model
#12 opened over 2 years ago
by
arkii02
train data or method share
π 3
#10 opened over 2 years ago
by
NovasCN
[AUTOMATED] Model Memory Requirements
#8 opened over 2 years ago
by
model-sizer-bot
How do I train based on this model?
#6 opened over 2 years ago
by
qianmuuq
Will the datasets used for fine-tuning be open-sourced later?
π€ 2
#5 opened over 2 years ago
by
leoyangsw
Can more individuals contribute to this
π 1
4
#4 opened over 2 years ago
by
desik98
schema consideration and warnings
π 2
5
#3 opened over 2 years ago
by
nobitha
Interesting but needs more work?
π 1
1
#2 opened over 2 years ago
by
pranjal-codefire
Difficult prompt you may want to add to training data
π 1
1
#1 opened over 2 years ago
by
tordbb