---
library_name: onnx
tags:
  - sentence-transformers
  - sentence-similarity
  - feature-extraction
  - mpnet
  - onnx
  - inference4j
license: apache-2.0
pipeline_tag: sentence-similarity
---

# all-mpnet-base-v2 — ONNX

ONNX export of [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/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](https://github.com/inference4j/inference4j), an inference-only AI library for Java.

## Original Source

- **Repository:** [sentence-transformers](https://huggingface.co/sentence-transformers/all-mpnet-base-v2)
- **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](https://www.apache.org/licenses/LICENSE-2.0). Original model by [sentence-transformers](https://huggingface.co/sentence-transformers).