Instructions to use tiny-random/gemma-4-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use tiny-random/gemma-4-assistant with Transformers:

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

pipe = pipeline("text-generation", model="tiny-random/gemma-4-assistant")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("tiny-random/gemma-4-assistant")
model = AutoModelForCausalLM.from_pretrained("tiny-random/gemma-4-assistant")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use tiny-random/gemma-4-assistant with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "tiny-random/gemma-4-assistant"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "tiny-random/gemma-4-assistant",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/tiny-random/gemma-4-assistant

SGLang

How to use tiny-random/gemma-4-assistant 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 "tiny-random/gemma-4-assistant" \
    --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": "tiny-random/gemma-4-assistant",
		"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 "tiny-random/gemma-4-assistant" \
        --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": "tiny-random/gemma-4-assistant",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use tiny-random/gemma-4-assistant with Docker Model Runner:
```
docker model run hf.co/tiny-random/gemma-4-assistant
```

yujiepan commited on May 26

Commit

e9927f8

verified ·

1 Parent(s): fc00f3b

Upload folder using huggingface_hub

Browse files

Files changed (3) hide show

.meta.json +1 -1
README.md +15 -15
model.safetensors +1 -1

.meta.json CHANGED Viewed

@@ -1,4 +1,4 @@
 {
-  "torch": "2.12.0",
   "transformers": "5.9.0"
 }

 {
+  "torch": "2.10.0+cu130",
   "transformers": "5.9.0"
 }

README.md CHANGED Viewed

@@ -42,20 +42,20 @@ messages = [
             {"type": "text", "text": "What is shown in this image?"},
         ],
     },
-    # {
-    #     "role": "assistant",
-    #     "content": [{"type": "text", "text": "Dummy response for image"}],
-    # },
-    # {
-    #     "role": "user",
-    #     "content": [
-    #         {
-    #             "type": "video",
-    #             "video": "https://github.com/bebechien/gemma/raw/refs/heads/main/videos/ForBiggerBlazes.mp4",
-    #         },
-    #         {"type": "text", "text": "Describe this video."},
-    #     ],
-    # },
 ]
 inputs = processor.apply_chat_template(
     messages,
@@ -219,5 +219,5 @@ Gemma4AssistantForCausalLM(
 ### Test environment:
-- torch: 2.12.0
 - transformers: 5.9.0

             {"type": "text", "text": "What is shown in this image?"},
         ],
     },
+    {
+        "role": "assistant",
+        "content": [{"type": "text", "text": "Dummy response for image"}],
+    },
+    {
+        "role": "user",
+        "content": [
+            {
+                "type": "video",
+                "video": "https://github.com/bebechien/gemma/raw/refs/heads/main/videos/ForBiggerBlazes.mp4",
+            },
+            {"type": "text", "text": "Describe this video."},
+        ],
+    },
 ]
 inputs = processor.apply_chat_template(
     messages,
 ### Test environment:
+- torch: 2.10.0+cu130
 - transformers: 5.9.0

model.safetensors CHANGED Viewed

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