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

Libraries

How to use automajicly/Local_Security_Model with Transformers:

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

pipe = pipeline("text-generation", model="automajicly/Local_Security_Model")

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use automajicly/Local_Security_Model with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/automajicly/Local_Security_Model

SGLang

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

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

automajicly commited on 4 days ago

Commit

2b0cbfe

verified ·

1 Parent(s): 18dd6cf

Update README.md

Browse files

![banner final](https://cdn-uploads.huggingface.co/production/uploads/69f8f3190a7b7c281f40ca6e/g4POU0XG0aj6MX6Nd7ho5.png)

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@@ -15,7 +15,7 @@ pipeline_tag: text-generation
 library_name: transformers
 ---
-![banner](./banner.svg)
 🔐 Local Security Model — Autonomous Pentesting Agent

 library_name: transformers
 ---
+![banner](./banner_final.png)
 🔐 Local Security Model — Autonomous Pentesting Agent