Instructions to use samos123/gemma-7b-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use samos123/gemma-7b-sql with Transformers:

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

pipe = pipeline("text-generation", model="samos123/gemma-7b-sql")

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

tokenizer = AutoTokenizer.from_pretrained("samos123/gemma-7b-sql")
model = AutoModelForCausalLM.from_pretrained("samos123/gemma-7b-sql", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use samos123/gemma-7b-sql with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "samos123/gemma-7b-sql"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "samos123/gemma-7b-sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/samos123/gemma-7b-sql

SGLang

How to use samos123/gemma-7b-sql 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 "samos123/gemma-7b-sql" \
    --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": "samos123/gemma-7b-sql",
		"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 "samos123/gemma-7b-sql" \
        --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": "samos123/gemma-7b-sql",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use samos123/gemma-7b-sql with Docker Model Runner:
```
docker model run hf.co/samos123/gemma-7b-sql
```

samos123 commited on Mar 17, 2024

Commit

7204c59

verified ·

1 Parent(s): 5e89f07

Upload GemmaForCausalLM

Browse files

Files changed (4) hide show

model-00001-of-00004.safetensors +1 -1
model-00002-of-00004.safetensors +1 -1
model-00003-of-00004.safetensors +1 -1
model-00004-of-00004.safetensors +1 -1

model-00001-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2f48afff27d5e6b550f4606ca378e257fcdb667d52181e13a933eac5667bed43
 size 4995496592

 version https://git-lfs.github.com/spec/v1
+oid sha256:f2f18dc5ecb013f6794c35269f89a51caba8a5cb1794af62170320365acd521a
 size 4995496592

model-00002-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b6cc458ea78dbe5637e7237715285140e34146aef89d6c26e11bdf31db97aa6a
 size 4982953088

 version https://git-lfs.github.com/spec/v1
+oid sha256:4dec21993df4ba944e72ee5a8b05b122accdd6b2f1fb27fce078e8f39211e33c
 size 4982953088

model-00003-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e0709dbe58eed57591e346c7371460a5bb4f84318ef0acb570d0838572e651c3
 size 4982953120

 version https://git-lfs.github.com/spec/v1
+oid sha256:36836068e79fbcf47e88e73fb56cb8acf2a54d9509dfb672978e5d355567aaeb
 size 4982953120

model-00004-of-00004.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9d8404ec1df3a5f015712bcf951978f0d28d3db4b3ca38e4c776dc368aa27347
 size 2113988304

 version https://git-lfs.github.com/spec/v1
+oid sha256:13d530fac8d49bca05d9d5d08e8653189d7f96b95847559519232b4a605fe5ff
 size 2113988304