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)

# 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=40)
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 4 days ago

Commit

4b0ecf6

verified ·

1 Parent(s): 424862d

Upload folder using huggingface_hub

Browse files

Files changed (2) hide show

README.md +3 -3
config.json +3 -0

README.md CHANGED Viewed

@@ -79,7 +79,7 @@ The following example loads an image from a URL and asks the model to describe i
 ```python
 import torch
-from transformers import AutoModelForCausalLM, AutoProcessor
 model_id = "CohereLabs/North-Micro-Vision-Instruct"
@@ -87,7 +87,7 @@ processor = AutoProcessor.from_pretrained(
     model_id,
     trust_remote_code=True,
 )
-model = AutoModelForCausalLM.from_pretrained(
     model_id,
     dtype="auto",
     device_map="auto",
@@ -95,7 +95,7 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 # To enable Flash Attention 2, load the model with the following settings:
-# model = AutoModelForCausalLM.from_pretrained(
 #     model_id,
 #     dtype=torch.bfloat16,
 #     attn_implementation="flash_attention_2",

 ```python
 import torch
+from transformers import AutoModelForImageTextToText, AutoProcessor
 model_id = "CohereLabs/North-Micro-Vision-Instruct"
     model_id,
     trust_remote_code=True,
 )
+model = AutoModelForImageTextToText.from_pretrained(
     model_id,
     dtype="auto",
     device_map="auto",
 )
 # To enable Flash Attention 2, load the model with the following settings:
+# model = AutoModelForImageTextToText.from_pretrained(
 #     model_id,
 #     dtype=torch.bfloat16,
 #     attn_implementation="flash_attention_2",

config.json CHANGED Viewed

@@ -142,6 +142,9 @@
     "model_type": "cohere_compass_vision",
     "output_attentions": false
   },
   "image_token_id": 255031,
   "video_token_id": 255032,
   "vision_start_token_id": 255028,

     "model_type": "cohere_compass_vision",
     "output_attentions": false
   },
+  "fusion_config": {
+    "patch_embeddings": true
+  },
   "image_token_id": 255031,
   "video_token_id": 255032,
   "vision_start_token_id": 255028,