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inference4j/
all-mpnet-base-v2

Name: all-mpnet-base-v2
Availability: InStock

onnx

sentence-transformers

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all-mpnet-base-v2 — ONNX

ONNX export of all-mpnet-base-v2, the highest-quality sentence-transformers model based on MPNet. Maps sentences to a 768-dimensional dense vector space.

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

Original Source

Repository: sentence-transformers
License: apache-2.0

Usage with inference4j

java

try (SentenceTransformer model = SentenceTransformer.fromPretrained("models/all-mpnet-base-v2")) {
    float[] embedding = model.encode("Hello, world!");
    System.out.println("Dimension: " + embedding.length); // 768
}

Model Details

Property	Value
Architecture	MPNet-base (12 layers, 768 hidden)
Task	Sentence embeddings / semantic similarity
Output dimension	768
Max sequence length	384
Training data	1B+ sentence pairs
Original framework	PyTorch (sentence-transformers)

License

This model is licensed under the Apache License 2.0. Original model by sentence-transformers.

inference4j/all-mpnet-base-v2