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
Commit ·
2032253
1
Parent(s): 9a36d6b
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
---
|
| 2 |
-
license:
|
| 3 |
language:
|
| 4 |
- en
|
| 5 |
metrics:
|
|
@@ -63,4 +63,4 @@ SQLCoder has been tested on an A100 40GB GPU with `bfloat16` weights. You can al
|
|
| 63 |
- [x] Open-source the v1 model weights
|
| 64 |
- [ ] Train the model on more data, with higher data variance
|
| 65 |
- [ ] Tune the model further with Reward Modelling and RLHF
|
| 66 |
-
- [ ] Pretrain a model from scratch that specializes in SQL analysis
|
|
|
|
| 1 |
---
|
| 2 |
+
license: other
|
| 3 |
language:
|
| 4 |
- en
|
| 5 |
metrics:
|
|
|
|
| 63 |
- [x] Open-source the v1 model weights
|
| 64 |
- [ ] Train the model on more data, with higher data variance
|
| 65 |
- [ ] Tune the model further with Reward Modelling and RLHF
|
| 66 |
+
- [ ] Pretrain a model from scratch that specializes in SQL analysis
|