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)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("bhaiyasingh45/functiongemma-multiagent-router")
model = AutoModelForCausalLM.from_pretrained("bhaiyasingh45/functiongemma-multiagent-router")
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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

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

0f8133d

verified ·

1 Parent(s): a3f638f

Training in progress, epoch 1

Browse files

Files changed (3) hide show

model.safetensors +1 -1
runs/Jan05_15-41-07_05ae885add48/events.out.tfevents.1767627669.05ae885add48.500.0 +3 -0
training_args.bin +1 -1

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:df90b0c66470e2fb712f9e5dd312d34e376691f26358b2468fea1b035004b4fb
 size 536223056

 version https://git-lfs.github.com/spec/v1
+oid sha256:b745612851c1db359e69ca8c6b3d3c7eb6d890018cb0b2318a2327200e95bdfa
 size 536223056

runs/Jan05_15-41-07_05ae885add48/events.out.tfevents.1767627669.05ae885add48.500.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:ed34c4ac856f685a4578b89108137729d23492cd8c0b2768bf932109986dd321
+size 9756

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce214a5aa1a0b311ac846876f4e35d94c725110f1ab47b17fefdd71718592192
 size 6353

 version https://git-lfs.github.com/spec/v1
+oid sha256:94958a38b6778fb17906fbc60e5e90bf224fe08db72dd69e5ac803e397f5edd8
 size 6353