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

nielsr

Apr 7

Hi! I'm Niels from the Hugging Face community team. This PR improves the model card by adding links to the research paper and the official project page. This makes it easier for users to access the full context and resources associated with the COinCO dataset and models.

Link paper and project page25bf30da

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