Instructions to use Vignesh345/vul_pred with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vignesh345/vul_pred with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vignesh345/vul_pred", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Vignesh345/vul_pred with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Vignesh345/vul_pred:F16 # Run inference directly in the terminal: llama cli -hf Vignesh345/vul_pred:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Vignesh345/vul_pred:F16 # Run inference directly in the terminal: llama cli -hf Vignesh345/vul_pred:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Vignesh345/vul_pred:F16 # Run inference directly in the terminal: ./llama-cli -hf Vignesh345/vul_pred:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Vignesh345/vul_pred:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Vignesh345/vul_pred:F16
Use Docker
docker model run hf.co/Vignesh345/vul_pred:F16
- LM Studio
- Jan
- Ollama
How to use Vignesh345/vul_pred with Ollama:
ollama run hf.co/Vignesh345/vul_pred:F16
- Unsloth Desktop
- Docker Model Runner
How to use Vignesh345/vul_pred with Docker Model Runner:
docker model run hf.co/Vignesh345/vul_pred:F16
- Lemonade
How to use Vignesh345/vul_pred with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Vignesh345/vul_pred:F16
Run and chat with the model
lemonade run user.vul_pred-F16
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 3b6f4939a2d61a0d1c216b7a3faf731e83cde5f8e03ca8b0546417aa8ca3d7cb
- Size of remote file:
- 14.5 GB
- SHA256:
- c594f21bd61f031a19809e468201367c67b2c477cfb2fad8f7f8c44a20e8c254
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