Instructions to use google/gemma-4-31B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/gemma-4-31B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="google/gemma-4-31B")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("google/gemma-4-31B") model = AutoModelForImageTextToText.from_pretrained("google/gemma-4-31B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use google/gemma-4-31B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "google/gemma-4-31B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "google/gemma-4-31B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/google/gemma-4-31B
- SGLang
How to use google/gemma-4-31B 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 "google/gemma-4-31B" \ --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": "google/gemma-4-31B", "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 "google/gemma-4-31B" \ --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": "google/gemma-4-31B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use google/gemma-4-31B with Docker Model Runner:
docker model run hf.co/google/gemma-4-31B
Update README.md
Browse files
README.md
CHANGED
|
@@ -198,13 +198,13 @@ Once the model is loaded, you can start generating output by directly referencin
|
|
| 198 |
|
| 199 |
|
| 200 |
```python
|
| 201 |
-
# Prompt - add audio
|
| 202 |
messages = [
|
| 203 |
{
|
| 204 |
"role": "user",
|
| 205 |
"content": [
|
| 206 |
-
{"type": "audio", "audio": "https://raw.githubusercontent.com/google-gemma/cookbook/refs/heads/main/Demos/sample-data/journal1.wav"},
|
| 207 |
{"type": "text", "text": "Transcribe the following speech segment in its original language. Follow these specific instructions for formatting the answer:\n* Only output the transcription, with no newlines.\n* When transcribing numbers, write the digits, i.e. write 1.7 and not one point seven, and write 3 instead of three."},
|
|
|
|
| 208 |
]
|
| 209 |
}
|
| 210 |
]
|
|
@@ -261,7 +261,7 @@ Once the model is loaded, you can start generating output by directly referencin
|
|
| 261 |
messages = [
|
| 262 |
{
|
| 263 |
"role": "user", "content": [
|
| 264 |
-
{"type": "image", "url": "https://raw.githubusercontent.com/google-gemma/cookbook/refs/heads/main/
|
| 265 |
{"type": "text", "text": "What is shown in this image?"}
|
| 266 |
]
|
| 267 |
}
|
|
|
|
| 198 |
|
| 199 |
|
| 200 |
```python
|
| 201 |
+
# Prompt - add audio after text
|
| 202 |
messages = [
|
| 203 |
{
|
| 204 |
"role": "user",
|
| 205 |
"content": [
|
|
|
|
| 206 |
{"type": "text", "text": "Transcribe the following speech segment in its original language. Follow these specific instructions for formatting the answer:\n* Only output the transcription, with no newlines.\n* When transcribing numbers, write the digits, i.e. write 1.7 and not one point seven, and write 3 instead of three."},
|
| 207 |
+
{"type": "audio", "audio": "https://raw.githubusercontent.com/google-gemma/cookbook/refs/heads/main/apps/sample-data/journal1.wav"},
|
| 208 |
]
|
| 209 |
}
|
| 210 |
]
|
|
|
|
| 261 |
messages = [
|
| 262 |
{
|
| 263 |
"role": "user", "content": [
|
| 264 |
+
{"type": "image", "url": "https://raw.githubusercontent.com/google-gemma/cookbook/refs/heads/main/apps/sample-data/GoldenGate.png"},
|
| 265 |
{"type": "text", "text": "What is shown in this image?"}
|
| 266 |
]
|
| 267 |
}
|