How to use MarkLilly/mis-text-encoders with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf MarkLilly/mis-text-encoders # Run inference directly in the terminal: llama cli -hf MarkLilly/mis-text-encoders
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MarkLilly/mis-text-encoders # Run inference directly in the terminal: llama cli -hf MarkLilly/mis-text-encoders
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf MarkLilly/mis-text-encoders # Run inference directly in the terminal: ./build/bin/llama cli -hf MarkLilly/mis-text-encoders
docker model run hf.co/MarkLilly/mis-text-encoders
How to use MarkLilly/mis-text-encoders with Ollama:
ollama run hf.co/MarkLilly/mis-text-encoders
How to use MarkLilly/mis-text-encoders with Docker Model Runner:
How to use MarkLilly/mis-text-encoders with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MarkLilly/mis-text-encoders
lemonade run user.mis-text-encoders-{{QUANT_TAG}}
lemonade list
https://huggingface.co/MarkLilly/mis-text-encoders/resolve/main/put_text_encoder_files_here
hf download hf://MarkLilly/mis-text-encoders/put_text_encoder_files_here
curl -L -o put_text_encoder_files_here https://huggingface.co/MarkLilly/mis-text-encoders/resolve/main/put_text_encoder_files_here
