How to use sezer/model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sezer/model", device_map="auto")
How to use sezer/model with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf sezer/model:F16 # Run inference directly in the terminal: llama cli -hf sezer/model:F16
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sezer/model:F16 # Run inference directly in the terminal: llama cli -hf sezer/model:F16
# 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 sezer/model:F16 # Run inference directly in the terminal: ./llama-cli -hf sezer/model:F16
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 sezer/model:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sezer/model:F16
docker model run hf.co/sezer/model:F16
How to use sezer/model with Ollama:
ollama run hf.co/sezer/model:F16
How to use sezer/model with Docker Model Runner:
How to use sezer/model with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sezer/model:F16
lemonade run user.model-F16
lemonade list
What is a pickle import?
