Instructions to use google/paligemma2-3b-pt-224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use google/paligemma2-3b-pt-224 with Transformers:

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

pipe = pipeline("image-text-to-text", model="google/paligemma2-3b-pt-224")

# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("google/paligemma2-3b-pt-224")
model = AutoModelForMultimodalLM.from_pretrained("google/paligemma2-3b-pt-224", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use google/paligemma2-3b-pt-224 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "google/paligemma2-3b-pt-224"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "google/paligemma2-3b-pt-224",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/google/paligemma2-3b-pt-224

SGLang

How to use google/paligemma2-3b-pt-224 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/paligemma2-3b-pt-224" \
    --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/paligemma2-3b-pt-224",
		"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/paligemma2-3b-pt-224" \
        --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/paligemma2-3b-pt-224",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use google/paligemma2-3b-pt-224 with Docker Model Runner:
```
docker model run hf.co/google/paligemma2-3b-pt-224
```

Waiting for access for 2 weeks

by scottgeng00 - opened Dec 29, 2024

Discussion

scottgeng00

Dec 29, 2024

Could I please get access to this model family? I submitted a request on 12/16/2024 that is still pending. It will be super helpful for my research. Thank you!

scottgeng00 changed discussion title from Waiting for access to Waiting for access for 2 weeks Dec 29, 2024

GopiUppari

Google org Jan 2, 2025

Hi @scottgeng00 ,

Apologies for the delay.

Follow the link provided below and complete the steps to gain access to the “Google Gemma models on HuggingFace”.
https://www.kaggle.com/models/google/gemma-2/license/consent

Click on “Verify via Hugging Face” and also click “continue with Hugging Face”.

By following above step then will get as

Click on "Authorize," which will redirect you to the Kaggle Gemma Consent Form page. Fill out the required fields, accept the terms, and you will receive access to the Google Gemma models on HuggingFace in less than a minute.

Thank you.

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