Instructions to use JustinYuann/CSC4006-CyberSecAnnotation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use JustinYuann/CSC4006-CyberSecAnnotation with Transformers:

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

pipe = pipeline("text-generation", model="JustinYuann/CSC4006-CyberSecAnnotation")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("JustinYuann/CSC4006-CyberSecAnnotation", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use JustinYuann/CSC4006-CyberSecAnnotation with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "JustinYuann/CSC4006-CyberSecAnnotation"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "JustinYuann/CSC4006-CyberSecAnnotation",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/JustinYuann/CSC4006-CyberSecAnnotation

SGLang

How to use JustinYuann/CSC4006-CyberSecAnnotation 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 "JustinYuann/CSC4006-CyberSecAnnotation" \
    --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": "JustinYuann/CSC4006-CyberSecAnnotation",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "JustinYuann/CSC4006-CyberSecAnnotation" \
        --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": "JustinYuann/CSC4006-CyberSecAnnotation",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use JustinYuann/CSC4006-CyberSecAnnotation with Docker Model Runner:
```
docker model run hf.co/JustinYuann/CSC4006-CyberSecAnnotation
```

JustinYuann commited on Jul 14, 2025

Commit

e3ebdec

verified ·

1 Parent(s): a2d88fb

Update README.md

Browse files

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README.md +3 -5

README.md CHANGED Viewed

@@ -96,9 +96,7 @@ Please provide:
 1. Tactic
 2. Technique
 3. Sub-technique
-4. Description
-5. Severity
-6. Confidence'''
 inputs = tokenizer(prompt, return_tensors="pt")
 outputs = model.generate(**inputs, max_new_tokens=1024, temperature=0.7)
@@ -152,9 +150,9 @@ This model is released under the MIT License. See the LICENSE file for details.
 ## Contact
 For questions or issues:
-- Repository: https://gitlab.eeecs.qub.ac.uk/[student-id]/CSC4003
 - Institution: Queen's University Belfast
-- Course: CSC4003 - Research Project
 ## Acknowledgments

 1. Tactic
 2. Technique
 3. Sub-technique
+4. Description'
 inputs = tokenizer(prompt, return_tensors="pt")
 outputs = model.generate(**inputs, max_new_tokens=1024, temperature=0.7)
 ## Contact
 For questions or issues:
+- Repository: https://gitlab.eeecs.qub.ac.uk/40285272/CSC4006
 - Institution: Queen's University Belfast
+- Course: CSC4006 - Research Project
 ## Acknowledgments