Instructions to use COinCO/Context_Classification_Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use COinCO/Context_Classification_Models with Transformers:

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

pipe = pipeline("image-text-to-text", model="COinCO/Context_Classification_Models")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("COinCO/Context_Classification_Models", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use COinCO/Context_Classification_Models with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/COinCO/Context_Classification_Models

SGLang

How to use COinCO/Context_Classification_Models 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 "COinCO/Context_Classification_Models" \
    --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": "COinCO/Context_Classification_Models",
		"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 "COinCO/Context_Classification_Models" \
        --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": "COinCO/Context_Classification_Models",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use COinCO/Context_Classification_Models with Docker Model Runner:
```
docker model run hf.co/COinCO/Context_Classification_Models
```

Link paper and project page

by nielsr HF Staff - opened Apr 7

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-3

Files changed (1) hide show

README.md +4 -3

README.md CHANGED Viewed

@@ -1,6 +1,7 @@
 ---
 base_model: Qwen/Qwen2.5-VL-3B-Instruct
 library_name: transformers
 pipeline_tag: image-text-to-text
 tags:
 - qwen2.5-vl
@@ -9,7 +10,6 @@ tags:
 - context-classification
 - out-of-context-detection
 - coinco
-license: cc-by-4.0
 ---
 # COinCO Context Classification Models
@@ -79,7 +79,8 @@ processor = AutoProcessor.from_pretrained(model_id, subfolder=subfolder)
 ## Related Resources
-- **Paper:** "Common Inpainted Objects In-N-Out of Context"
 - **Dataset:** [COinCO/COinCO-dataset](https://huggingface.co/datasets/COinCO/COinCO-dataset)
 - **Code:** [YangTianze009/COinCO](https://github.com/YangTianze009/COinCO)
@@ -91,4 +92,4 @@ processor = AutoProcessor.from_pretrained(model_id, subfolder=subfolder)
   author={Tianze Yang and Tyson Jordan and Ruitong Sun and Ninghao Liu and Jin Sun},
   year={2025}
 }
-```

 ---
 base_model: Qwen/Qwen2.5-VL-3B-Instruct
 library_name: transformers
+license: cc-by-4.0
 pipeline_tag: image-text-to-text
 tags:
 - qwen2.5-vl
 - context-classification
 - out-of-context-detection
 - coinco
 ---
 # COinCO Context Classification Models
 ## Related Resources
+- **Paper:** [Common Inpainted Objects In-N-Out of Context](https://huggingface.co/papers/2506.00721)
+- **Project Page:** [https://co-in-co.github.io/](https://co-in-co.github.io/)
 - **Dataset:** [COinCO/COinCO-dataset](https://huggingface.co/datasets/COinCO/COinCO-dataset)
 - **Code:** [YangTianze009/COinCO](https://github.com/YangTianze009/COinCO)
   author={Tianze Yang and Tyson Jordan and Ruitong Sun and Ninghao Liu and Jin Sun},
   year={2025}
 }
+```