How to use yoeven/multilingual-e5-large-instruct-Q5_0-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("yoeven/multilingual-e5-large-instruct-Q5_0-GGUF") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3]
How to use yoeven/multilingual-e5-large-instruct-Q5_0-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yoeven/multilingual-e5-large-instruct-Q5_0-GGUF", device_map="auto")
How to use yoeven/multilingual-e5-large-instruct-Q5_0-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf yoeven/multilingual-e5-large-instruct-Q5_0-GGUF:Q5_0 --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf yoeven/multilingual-e5-large-instruct-Q5_0-GGUF:Q5_0 --embeddings
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 embeddings server: ./build/bin/llama serve -hf yoeven/multilingual-e5-large-instruct-Q5_0-GGUF:Q5_0 --embeddings
How to use yoeven/multilingual-e5-large-instruct-Q5_0-GGUF with Ollama:
ollama run hf.co/yoeven/multilingual-e5-large-instruct-Q5_0-GGUF:Q5_0
How to use yoeven/multilingual-e5-large-instruct-Q5_0-GGUF with Docker Model Runner:
docker model run hf.co/yoeven/multilingual-e5-large-instruct-Q5_0-GGUF:Q5_0
How to use yoeven/multilingual-e5-large-instruct-Q5_0-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull yoeven/multilingual-e5-large-instruct-Q5_0-GGUF:Q5_0
lemonade run user.multilingual-e5-large-instruct-Q5_0-GGUF-Q5_0
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