metadata
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, 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
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.