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

Libraries

How to use mlboydaisuke/North-Micro-Vision-CoreAI with Transformers:

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

pipe = pipeline("image-text-to-text", model="mlboydaisuke/North-Micro-Vision-CoreAI")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mlboydaisuke/North-Micro-Vision-CoreAI", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mlboydaisuke/North-Micro-Vision-CoreAI with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/mlboydaisuke/North-Micro-Vision-CoreAI

SGLang

How to use mlboydaisuke/North-Micro-Vision-CoreAI 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 "mlboydaisuke/North-Micro-Vision-CoreAI" \
    --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": "mlboydaisuke/North-Micro-Vision-CoreAI",
		"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 "mlboydaisuke/North-Micro-Vision-CoreAI" \
        --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": "mlboydaisuke/North-Micro-Vision-CoreAI",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use mlboydaisuke/North-Micro-Vision-CoreAI with Docker Model Runner:
```
docker model run hf.co/mlboydaisuke/North-Micro-Vision-CoreAI
```

mlboydaisuke commited on about 17 hours ago

Commit

60d7f05

verified ·

1 Parent(s): d6e48e3

Link the card back to its collection and the request box

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README.md +10 -0

README.md CHANGED Viewed

@@ -109,3 +109,13 @@ and [`knowledge/north-micro-vision-port.md`](https://github.com/john-rocky/corea
 Apache-2.0, carried from
 [`CohereLabs/North-Micro-Vision-Instruct`](https://huggingface.co/CohereLabs/North-Micro-Vision-Instruct)
 (revision `373bda96ac70bf89f99f7048f420cf00dc07c149`). Not affiliated with Apple or Cohere.

 Apache-2.0, carried from
 [`CohereLabs/North-Micro-Vision-Instruct`](https://huggingface.co/CohereLabs/North-Micro-Vision-Instruct)
 (revision `373bda96ac70bf89f99f7048f420cf00dc07c149`). Not affiliated with Apple or Cohere.
+<!-- funnel:v1 -->
+---
+**More models in this format:** [Core AI Model Zoo](https://huggingface.co/collections/mlboydaisuke/core-ai-model-zoo-6a7ff330f753e8dcae04671a) — 75 models, each with the recipe that produced it.
+**Want a different model on-device?** [Open a request](https://github.com/john-rocky/on-device-requests) — free, open weights only; the export and its measured numbers get published publicly.
+<!-- /funnel:v1 -->