Instructions to use CohereLabs/North-Micro-Vision-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use CohereLabs/North-Micro-Vision-Instruct with Transformers:

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

pipe = pipeline("image-text-to-text", model="CohereLabs/North-Micro-Vision-Instruct")
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 AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("CohereLabs/North-Micro-Vision-Instruct")
model = AutoModelForMultimodalLM.from_pretrained("CohereLabs/North-Micro-Vision-Instruct", device_map="auto")
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?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use CohereLabs/North-Micro-Vision-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "CohereLabs/North-Micro-Vision-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "CohereLabs/North-Micro-Vision-Instruct",
		"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/CohereLabs/North-Micro-Vision-Instruct

SGLang

How to use CohereLabs/North-Micro-Vision-Instruct 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 "CohereLabs/North-Micro-Vision-Instruct" \
    --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": "CohereLabs/North-Micro-Vision-Instruct",
		"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 "CohereLabs/North-Micro-Vision-Instruct" \
        --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": "CohereLabs/North-Micro-Vision-Instruct",
		"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 CohereLabs/North-Micro-Vision-Instruct with Docker Model Runner:
```
docker model run hf.co/CohereLabs/North-Micro-Vision-Instruct
```

d-rau commited on Aug 11

Commit

aa59634

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1 Parent(s): d007dbb

Update README.md

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@@ -61,17 +61,17 @@ The language backbone supports a 128K-token context window, but the validated op
 ### Installation
-Install [PyTorch](https://pytorch.org/get-started/locally/) for your platform first. North Micro Vision requires Transformers 5.15.0, together with `accelerate` for automatic device placement and Pillow for image loading. Until Transformers 5.15.0 is released, install the runtime dependencies and Transformers from source:
 ```bash
 uv pip install accelerate pillow
 uv pip install "git+https://github.com/huggingface/transformers.git"
 ```
-Once Transformers 5.15.0 is available on PyPI, install the released package with:
 ```bash
-uv pip install accelerate pillow "transformers==5.15.0"
 ```
 Flash Attention 2 is optional. On supported CUDA systems, install it with:

 ### Installation
+Install [PyTorch](https://pytorch.org/get-started/locally/) for your platform first. North Micro Vision requires Transformers 5.16.0, together with `accelerate` for automatic device placement and Pillow for image loading. Until Transformers 5.16.0 is released, install the runtime dependencies and Transformers from source:
 ```bash
 uv pip install accelerate pillow
 uv pip install "git+https://github.com/huggingface/transformers.git"
 ```
+Once Transformers 5.16.0 is available on PyPI, install the released package with:
 ```bash
+uv pip install accelerate pillow "transformers==5.16.0"
 ```
 Flash Attention 2 is optional. On supported CUDA systems, install it with: