Instructions to use trollek/ImagePromptHelper-gemma3-270M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use trollek/ImagePromptHelper-gemma3-270M with Transformers:

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

pipe = pipeline("text-generation", model="trollek/ImagePromptHelper-gemma3-270M")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("trollek/ImagePromptHelper-gemma3-270M", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use trollek/ImagePromptHelper-gemma3-270M with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "trollek/ImagePromptHelper-gemma3-270M"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "trollek/ImagePromptHelper-gemma3-270M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/trollek/ImagePromptHelper-gemma3-270M

SGLang

How to use trollek/ImagePromptHelper-gemma3-270M 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 "trollek/ImagePromptHelper-gemma3-270M" \
    --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": "trollek/ImagePromptHelper-gemma3-270M",
		"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 "trollek/ImagePromptHelper-gemma3-270M" \
        --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": "trollek/ImagePromptHelper-gemma3-270M",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use trollek/ImagePromptHelper-gemma3-270M with Docker Model Runner:
```
docker model run hf.co/trollek/ImagePromptHelper-gemma3-270M
```

trollek commited on Nov 16, 2025

Commit

fdbdfff

verified ·

1 Parent(s): 4998d54

Update README.md

Browse files

Files changed (1) hide show

README.md +2 -1

README.md CHANGED Viewed

@@ -11,6 +11,7 @@ tags:
 - llama-factory
 - moun
 - full
 ---
@@ -118,4 +119,4 @@ The following hyperparameters were used during training:
 - Transformers 4.52.4
 - Pytorch 2.7.0+cu128
 - Datasets 3.6.0
-- Tokenizers 0.21.1

 - llama-factory
 - moun
 - full
+pipeline_tag: text-generation
 ---
 - Transformers 4.52.4
 - Pytorch 2.7.0+cu128
 - Datasets 3.6.0
+- Tokenizers 0.21.1