How to use rememb001/merhaba with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rememb001/merhaba")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rememb001/merhaba", device_map="auto")
How to use rememb001/merhaba with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf rememb001/merhaba # Run inference directly in the terminal: llama cli -hf rememb001/merhaba
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf rememb001/merhaba # Run inference directly in the terminal: llama cli -hf rememb001/merhaba
# 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 rememb001/merhaba # Run inference directly in the terminal: ./llama-cli -hf rememb001/merhaba
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 rememb001/merhaba # Run inference directly in the terminal: ./build/bin/llama-cli -hf rememb001/merhaba
docker model run hf.co/rememb001/merhaba
How to use rememb001/merhaba with Ollama:
ollama run hf.co/rememb001/merhaba
How to use rememb001/merhaba with Docker Model Runner:
How to use rememb001/merhaba with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull rememb001/merhaba
lemonade run user.merhaba-{{QUANT_TAG}}
lemonade list
