Instructions to use sensenova/SenseNova-Loop-9B-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use sensenova/SenseNova-Loop-9B-Preview with Transformers:

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

pipe = pipeline("image-text-to-text", model="sensenova/SenseNova-Loop-9B-Preview", trust_remote_code=True)
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("sensenova/SenseNova-Loop-9B-Preview", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use sensenova/SenseNova-Loop-9B-Preview with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "sensenova/SenseNova-Loop-9B-Preview"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "sensenova/SenseNova-Loop-9B-Preview",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/sensenova/SenseNova-Loop-9B-Preview

SGLang

How to use sensenova/SenseNova-Loop-9B-Preview 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 "sensenova/SenseNova-Loop-9B-Preview" \
    --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": "sensenova/SenseNova-Loop-9B-Preview",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "sensenova/SenseNova-Loop-9B-Preview" \
        --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": "sensenova/SenseNova-Loop-9B-Preview",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Docker Model Runner
How to use sensenova/SenseNova-Loop-9B-Preview with Docker Model Runner:
```
docker model run hf.co/sensenova/SenseNova-Loop-9B-Preview
```

Alexqzx commited on 2 days ago

Commit

b6750d5

verified ·

1 Parent(s): 3462613

Add SGLang deployment example

Browse files

Files changed (2) hide show

README.md +8 -0
README_CN.md +8 -0

README.md CHANGED Viewed

@@ -224,6 +224,14 @@ curl http://localhost:8000/v1/chat/completions \
   -d '{"model": "sensenova_loop", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 128}'
 ```
 ## License and citation
 **License:** [Apache License 2.0](https://github.com/OpenSenseNova/SenseNova-6.8-Loop-9B-Preview/blob/main/LICENSE).<br>**Citation:** To be added with the release.

   -d '{"model": "sensenova_loop", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 128}'
 ```
+### [SGLang](https://github.com/sgl-project/sglang/pull/47281)
+Use a build containing the SenseNova Loop implementation in this PR, and replace the path below with your local canonical checkpoint directory:
+```bash
+sglang serve --model-path /path/to/canonical-checkpoint
+```
 ## License and citation
 **License:** [Apache License 2.0](https://github.com/OpenSenseNova/SenseNova-6.8-Loop-9B-Preview/blob/main/LICENSE).<br>**Citation:** To be added with the release.

README_CN.md CHANGED Viewed

@@ -224,6 +224,14 @@ curl http://localhost:8000/v1/chat/completions \
   -d '{"model": "sensenova_loop", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 128}'
 ```
 ## 许可证与引用
 **许可证：**[Apache License 2.0](https://github.com/OpenSenseNova/SenseNova-6.8-Loop-9B-Preview/blob/main/LICENSE)。<br>**引用：**将在发布时补充。

   -d '{"model": "sensenova_loop", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 128}'
 ```
+### [SGLang](https://github.com/sgl-project/sglang/pull/47281)
+请使用包含该 PR 中 SenseNova Loop 实现的版本，并将下方路径替换为本地 canonical checkpoint 目录：
+```bash
+sglang serve --model-path /path/to/canonical-checkpoint
+```
 ## 许可证与引用
 **许可证：**[Apache License 2.0](https://github.com/OpenSenseNova/SenseNova-6.8-Loop-9B-Preview/blob/main/LICENSE)。<br>**引用：**将在发布时补充。