Instructions to use bhaiyasingh45/functiongemma-multiagent-router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use bhaiyasingh45/functiongemma-multiagent-router with Transformers:

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

pipe = pipeline("text-generation", model="bhaiyasingh45/functiongemma-multiagent-router")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("bhaiyasingh45/functiongemma-multiagent-router")
model = AutoModelForCausalLM.from_pretrained("bhaiyasingh45/functiongemma-multiagent-router", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use bhaiyasingh45/functiongemma-multiagent-router with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bhaiyasingh45/functiongemma-multiagent-router"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bhaiyasingh45/functiongemma-multiagent-router",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/bhaiyasingh45/functiongemma-multiagent-router

SGLang

How to use bhaiyasingh45/functiongemma-multiagent-router 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 "bhaiyasingh45/functiongemma-multiagent-router" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bhaiyasingh45/functiongemma-multiagent-router",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "bhaiyasingh45/functiongemma-multiagent-router" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "bhaiyasingh45/functiongemma-multiagent-router",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use bhaiyasingh45/functiongemma-multiagent-router with Docker Model Runner:
```
docker model run hf.co/bhaiyasingh45/functiongemma-multiagent-router
```

Bhaiya Hari Narayan Singh commited on Jan 5

Commit

bc4a90d

verified ·

1 Parent(s): af166b3

Training in progress, epoch 7

Browse files

Files changed (2) hide show

model.safetensors +1 -1
runs/Jan05_07-14-43_64f65a10a200/events.out.tfevents.1767597285.64f65a10a200.830.2 +2 -2

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:12eef5cbaa7d0827a366d3ba4ec990be6dade9ea564114ab0c0458a6801c9485
 size 536223056

 version https://git-lfs.github.com/spec/v1
+oid sha256:e5e7ea0a144ff0d9a399da4bab182639dd3f72ddc75ea06469b74f27c529686f
 size 536223056

runs/Jan05_07-14-43_64f65a10a200/events.out.tfevents.1767597285.64f65a10a200.830.2 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a81ce6991c78a0ac8b13b371cd63f22f136e26495eaa36335e4817c36e4f7051
-size 26911

 version https://git-lfs.github.com/spec/v1
+oid sha256:194d0d7b06e98c03f3c1a1ff60d7cfef9a57fdf7fa73d83430dbe04003ceeeb1
+size 30342