How to use MesTruck/STS-multilingual-mpnet-base-v2-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("MesTruck/STS-multilingual-mpnet-base-v2-GGUF") sentences = [ "有些人在路上溜达。", "Folk går", "Otururken gitar çalan adam.", "ארה\"ב קבעה שסוריה השתמשה בנשק כימי" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use MesTruck/STS-multilingual-mpnet-base-v2-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M --embeddings
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible embeddings server: ./llama-server -hf MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M --embeddings
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 embeddings server: ./build/bin/llama-server -hf MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M --embeddings
How to use MesTruck/STS-multilingual-mpnet-base-v2-GGUF with Ollama:
ollama run hf.co/MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M
How to use MesTruck/STS-multilingual-mpnet-base-v2-GGUF with Docker Model Runner:
docker model run hf.co/MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M
How to use MesTruck/STS-multilingual-mpnet-base-v2-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MesTruck/STS-multilingual-mpnet-base-v2-GGUF:Q4_K_M
lemonade run user.STS-multilingual-mpnet-base-v2-GGUF-Q4_K_M
lemonade list
