Upload all-MiniLM-L6-v2 ONNX model

README.md

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+---
+library_name: onnx
+tags:
+  - sentence-transformers
+  - sentence-similarity
+  - feature-extraction
+  - onnx
+  - inference4j
+license: apache-2.0
+pipeline_tag: sentence-similarity
+---
+
+# all-MiniLM-L6-v2 — ONNX
+
+ONNX export of [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2), a sentence-transformers model that maps sentences to a 384-dimensional dense vector space. Fine-tuned on a 1B+ sentence pairs dataset using a self-supervised contrastive learning objective.
+
+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-MiniLM-L6-v2)
+- **License:** apache-2.0
+
+## Usage with inference4j
+
+```java
+try (SentenceTransformer model = SentenceTransformer.fromPretrained("models/all-MiniLM-L6-v2")) {
+    float[] embedding = model.encode("Hello, world!");
+    System.out.println("Dimension: " + embedding.length); // 384
+}
+```
+
+## Model Details
+
+| Property | Value |
+|----------|-------|
+| Architecture | MiniLM-L6 (6 layers, 384 hidden) |
+| Task | Sentence embeddings / semantic similarity |
+| Output dimension | 384 |
+| Max sequence length | 256 |
+| 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).

model.onnx

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