BGE Base EN v1.5 — ONNX

ONNX export of BAAI/bge-base-en-v1.5, a high-quality English embedding model. Maps sentences to 768-dimensional dense vectors using CLS pooling with L2 normalization.

Mirrored for use with inference4j, an inference-only AI library for Java.

Original Source

• Repository: BAAI (ONNX by Xenova)
• License: mit

Usage with inference4j

try (SentenceTransformerEmbedder model = SentenceTransformerEmbedder.builder()
        .modelId("inference4j/bge-base-en-v1.5")
        .poolingStrategy(PoolingStrategy.CLS)
        .normalize()
        .build()) {
    float[] embedding = model.encode("Hello, world!");
    System.out.println("Dimension: " + embedding.length); // 768
}

Model Details

License

This model is licensed under the MIT License. Original model by BAAI, ONNX export by Xenova.