Instructions to use TeeA/codeLlama_text2sql_word_r4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TeeA/codeLlama_text2sql_word_r4 with Transformers:

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

pipe = pipeline("text-generation", model="TeeA/codeLlama_text2sql_word_r4")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("TeeA/codeLlama_text2sql_word_r4")
model = AutoModelForCausalLM.from_pretrained("TeeA/codeLlama_text2sql_word_r4", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TeeA/codeLlama_text2sql_word_r4 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TeeA/codeLlama_text2sql_word_r4"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TeeA/codeLlama_text2sql_word_r4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TeeA/codeLlama_text2sql_word_r4

SGLang

How to use TeeA/codeLlama_text2sql_word_r4 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 "TeeA/codeLlama_text2sql_word_r4" \
    --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": "TeeA/codeLlama_text2sql_word_r4",
		"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 "TeeA/codeLlama_text2sql_word_r4" \
        --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": "TeeA/codeLlama_text2sql_word_r4",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TeeA/codeLlama_text2sql_word_r4 with Docker Model Runner:
```
docker model run hf.co/TeeA/codeLlama_text2sql_word_r4
```

TeeA commited on Apr 15, 2024

Commit

5fc65d6

verified ·

1 Parent(s): ccce08b

Training in progress, step 14800

Browse files

Files changed (2) hide show

adapter_model.safetensors +1 -1
runs/Apr15_12-13-10_kao-dgxa-e10-u17/events.out.tfevents.1713179608.kao-dgxa-e10-u17.2134547.1 +2 -2

adapter_model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f1a41cad714c163dc2229391ff5a5346700c03fda9dded54cb77c02c78b074a
 size 40036040

 version https://git-lfs.github.com/spec/v1
+oid sha256:cd03017fea8c3666d0aa6405c4f836fd82006c50a329aa0a00a1c222c9fb0291
 size 40036040

runs/Apr15_12-13-10_kao-dgxa-e10-u17/events.out.tfevents.1713179608.kao-dgxa-e10-u17.2134547.1 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:52c21c012758ef82a11321fb3f7d9ac127e4d395dc0f66111af2682f0ec4a447
-size 3105084

 version https://git-lfs.github.com/spec/v1
+oid sha256:e9495e09b1cb1e9a78c8dcf7df7bfdb111809a1e3ab66e668c9c43b895d86643
+size 3147555