How to use taylor-jones/bge-code-v1-Q6_K-GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("taylor-jones/bge-code-v1-Q6_K-GGUF") sentences = [ "那是 個快樂的人", "那是 條快樂的狗", "那是 個非常幸福的人", "今天是晴天" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use taylor-jones/bge-code-v1-Q6_K-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("taylor-jones/bge-code-v1-Q6_K-GGUF", device_map="auto")
How to use taylor-jones/bge-code-v1-Q6_K-GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf taylor-jones/bge-code-v1-Q6_K-GGUF:Q6_K --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf taylor-jones/bge-code-v1-Q6_K-GGUF:Q6_K --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 taylor-jones/bge-code-v1-Q6_K-GGUF:Q6_K --embeddings
How to use taylor-jones/bge-code-v1-Q6_K-GGUF with Ollama:
ollama run hf.co/taylor-jones/bge-code-v1-Q6_K-GGUF:Q6_K
How to use taylor-jones/bge-code-v1-Q6_K-GGUF with Docker Model Runner:
docker model run hf.co/taylor-jones/bge-code-v1-Q6_K-GGUF:Q6_K
How to use taylor-jones/bge-code-v1-Q6_K-GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull taylor-jones/bge-code-v1-Q6_K-GGUF:Q6_K
lemonade run user.bge-code-v1-Q6_K-GGUF-Q6_K
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